【NLP】 2014-2020 Simultaneous Translation 同传 or 同步翻译相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 26k 43 分钟

目录

1. Opportunistic Decoding with Timely Correction for Simultaneous Translation, ACL 2020 [PDF] 摘要

2. Simultaneous Translation Policies: From Fixed to Adaptive, ACL 2020 [PDF] 摘要

3. SimulSpeech: End-to-End Simultaneous Speech to Text Translation, ACL 2020 [PDF] 摘要

4. Proceedings of the First Workshop on Automatic Simultaneous Translation, ACL 2020 [PDF] 摘要

5. Dynamic Sentence Boundary Detection for Simultaneous Translation, ACL 2020 [PDF] 摘要

6. ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020, ACL 2020 [PDF] 摘要

7. End-to-End Simultaneous Translation System for IWSLT2020 Using Modality Agnostic Meta-Learning, ACL 2020 [PDF] 摘要

8. Re-translation versus Streaming for Simultaneous Translation, ACL 2020 [PDF] 摘要

9. Towards Stream Translation: Adaptive Computation Time for Simultaneous Machine Translation, ACL 2020 [PDF] 摘要

10. Neural Simultaneous Speech Translation Using Alignment-Based Chunking, ACL 2020 [PDF] 摘要

11. The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education, ACL 2020 [PDF] 摘要

12. Simultaneous paraphrasing and translation by fine-tuning Transformer models, ACL 2020 [PDF] 摘要

13. Simultaneous Translation and Paraphrase for Language Education, ACL 2020 [PDF] 摘要

14. Simultaneous Machine Translation with Visual Context, EMNLP 2020 [PDF] 摘要

15. Learning Adaptive Segmentation Policy for Simultaneous Translation, EMNLP 2020 [PDF] 摘要

16. Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training, EMNLP 2020 [PDF] 摘要

17. Monotonic Infinite Lookback Attention for Simultaneous Machine Translation, ACL 2019 [PDF] 摘要

18. STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework, ACL 2019 [PDF] 摘要

19. Simultaneous Translation with Flexible Policy via Restricted Imitation Learning, ACL 2019 [PDF] 摘要

20. Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation, EMNLP 2019 [PDF] 摘要

21. Speculative Beam Search for Simultaneous Translation, EMNLP 2019 [PDF] 摘要

22. Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation, NAACL 2019 [PDF] 摘要

23. Prediction Improves Simultaneous Neural Machine Translation, EMNLP 2018 [PDF] 摘要

24. Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation, NAACL 2018 [PDF] 摘要

25. Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation, NAACL 2016 [PDF] 摘要

26. Lecture Translator - Speech translation framework for simultaneous lecture translation, NAACL 2016 [PDF] 摘要

27. Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents, ACL 2015 [PDF] 摘要

28. Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents, ACL 2015 [PDF] 摘要

29. Syntax-based Rewriting for Simultaneous Machine Translation, EMNLP 2015 [PDF] 摘要

30. Optimizing Segmentation Strategies for Simultaneous Speech Translation, ACL 2014 [PDF] 摘要

31. Don’t Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation, EMNLP 2014 [PDF] 摘要

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【NLP】 2015-2020 Translationese 翻译腔相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 19k 31 分钟

目录

1. On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation, ACL 2020 [PDF] 摘要

2. On The Evaluation of Machine Translation Systems Trained With Back-Translation, ACL 2020 [PDF] 摘要

3. Tagged Back-translation Revisited: Why Does It Really Work?, ACL 2020 [PDF] 摘要

4. Translationese as a Language in “Multilingual” NMT, ACL 2020 [PDF] 摘要

5. How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech, ACL 2020 [PDF] 摘要

6. BLEU Might Be Guilty but References Are Not Innocent, EMNLP 2020 [PDF] 摘要

7. Translationese in Machine Translation Evaluation, EMNLP 2020 [PDF] 摘要

8. Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation, ACL 2019 [PDF] 摘要

9. What Kind of Language Is Hard to Language-Model?, ACL 2019 [PDF] 摘要

10. APE at Scale and Its Implications on MT Evaluation Biases, ACL 2019 [PDF] 摘要

11. The Effect of Translationese in Machine Translation Test Sets, ACL 2019 [PDF] 摘要

12. Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation, ACL 2019 [PDF] 摘要

13. Analysing Coreference in Transformer Outputs, EMNLP 2019 [PDF] 摘要

14. Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation, EMNLP 2018 [PDF] 摘要

15. Translationese: Between Human and Machine Translation, COLING 2016 [PDF] 摘要

16. Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification, NAACL 2016 [PDF] 摘要

17. Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation, NAACL 2016 [PDF] 摘要

18. Unsupervised Identification of Translationese, TACL 2015 [PDF] 摘要

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【NLP】 2019 Neural Machine Translation 机器翻译相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 358k 9:56

目录

1. Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement, AAAI 2019 [PDF] 摘要

2. DTMT: A Novel Deep Transition Architecture for Neural Machine Translation, AAAI 2019 [PDF] 摘要

3. Unsupervised Neural Machine Translation with SMT as Posterior Regularization, AAAI 2019 [PDF] 摘要

4. TransNFCM: Translation-Based Neural Fashion Compatibility Modeling, AAAI 2019 [PDF] 摘要

5. Regularizing Neural Machine Translation by Target-Bidirectional Agreement, AAAI 2019 [PDF] 摘要

6. Addressing the Under-Translation Problem from the Entropy Perspective, AAAI 2019 [PDF] 摘要

7. Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis, AAAI 2019 [PDF] 摘要

8. Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation, AAAI 2019 [PDF] 摘要

9. Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input, AAAI 2019 [PDF] 摘要

10. Non-Autoregressive Machine Translation with Auxiliary Regularization, AAAI 2019 [PDF] 摘要

11. Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder, AAAI 2019 [PDF] 摘要

12. Recurrent Stacking of Layers for Compact Neural Machine Translation Models, AAAI 2019 [PDF] 摘要

13. Adapting Translation Models for Transcript Disfluency Detection, AAAI 2019 [PDF] 摘要

14. "Bilingual Expert" Can Find Translation Errors, AAAI 2019 [PDF] 摘要

15. PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation, AAAI 2019 [PDF] 摘要

16. Neural Machine Translation with Adequacy-Oriented Learning, AAAI 2019 [PDF] 摘要

17. Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities, AAAI 2019 [PDF] 摘要

18. Jointly Extracting Multiple Triplets with Multilayer Translation Constraints, AAAI 2019 [PDF] 摘要

19. Translating with Bilingual Topic Knowledge for Neural Machine Translation, AAAI 2019 [PDF] 摘要

20. Graph Based Translation Memory for Neural Machine Translation, AAAI 2019 [PDF] 摘要

21. Modeling Coherence for Discourse Neural Machine Translation, AAAI 2019 [PDF] 摘要

22. Identifying Semantics in Clinical Reports Using Neural Machine Translation, AAAI 2019 [PDF] 摘要

23. Unsupervised Pivot Translation for Distant Languages, ACL 2019 [PDF] 摘要

24. An Effective Approach to Unsupervised Machine Translation, ACL 2019 [PDF] 摘要

25. Effective Adversarial Regularization for Neural Machine Translation, ACL 2019 [PDF] 摘要

26. Revisiting Low-Resource Neural Machine Translation: A Case Study, ACL 2019 [PDF] 摘要

27. Domain Adaptive Inference for Neural Machine Translation, ACL 2019 [PDF] 摘要

28. When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion, ACL 2019 [PDF] 摘要

29. A Compact and Language-Sensitive Multilingual Translation Method, ACL 2019 [PDF] 摘要

30. Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation, ACL 2019 [PDF] 摘要

31. Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation, ACL 2019 [PDF] 摘要

32. Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies, ACL 2019 [PDF] 摘要

33. Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations, ACL 2019 [PDF] 摘要

34. Syntactically Supervised Transformers for Faster Neural Machine Translation, ACL 2019 [PDF] 摘要

35. Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation, ACL 2019 [PDF] 摘要

36. On the Word Alignment from Neural Machine Translation, ACL 2019 [PDF] 摘要

37. Imitation Learning for Non-Autoregressive Neural Machine Translation, ACL 2019 [PDF] 摘要

38. Monotonic Infinite Lookback Attention for Simultaneous Machine Translation, ACL 2019 [PDF] 摘要

39. Evaluating Gender Bias in Machine Translation, ACL 2019 [PDF] 摘要

40. Neural Machine Translation with Reordering Embeddings, ACL 2019 [PDF] 摘要

41. Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation, ACL 2019 [PDF] 摘要

42. Learning Deep Transformer Models for Machine Translation, ACL 2019 [PDF] 摘要

43. Generating Diverse Translations with Sentence Codes, ACL 2019 [PDF] 摘要

44. Self-Supervised Neural Machine Translation, ACL 2019 [PDF] 摘要

45. Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation, ACL 2019 [PDF] 摘要

46. Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation, ACL 2019 [PDF] 摘要

47. Domain Adaptation of Neural Machine Translation by Lexicon Induction, ACL 2019 [PDF] 摘要

48. Reference Network for Neural Machine Translation, ACL 2019 [PDF] 摘要

49. Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation, ACL 2019 [PDF] 摘要

50. STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework, ACL 2019 [PDF] 摘要

51. Look Harder: A Neural Machine Translation Model with Hard Attention, ACL 2019 [PDF] 摘要

52. Robust Neural Machine Translation with Joint Textual and Phonetic Embedding, ACL 2019 [PDF] 摘要

53. Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation, ACL 2019 [PDF] 摘要

54. Training Neural Machine Translation to Apply Terminology Constraints, ACL 2019 [PDF] 摘要

55. Sentence-Level Agreement for Neural Machine Translation, ACL 2019 [PDF] 摘要

56. Lattice-Based Transformer Encoder for Neural Machine Translation, ACL 2019 [PDF] 摘要

57. Shared-Private Bilingual Word Embeddings for Neural Machine Translation, ACL 2019 [PDF] 摘要

58. Robust Neural Machine Translation with Doubly Adversarial Inputs, ACL 2019 [PDF] 摘要

59. Bridging the Gap between Training and Inference for Neural Machine Translation, ACL 2019 [PDF] 摘要

60. Beyond BLEU:Training Neural Machine Translation with Semantic Similarity, ACL 2019 [PDF] 摘要

61. Simple and Effective Paraphrastic Similarity from Parallel Translations, ACL 2019 [PDF] 摘要

62. Unsupervised Question Answering by Cloze Translation, ACL 2019 [PDF] 摘要

63. Bilingual Lexicon Induction through Unsupervised Machine Translation, ACL 2019 [PDF] 摘要

64. Soft Contextual Data Augmentation for Neural Machine Translation, ACL 2019 [PDF] 摘要

65. Depth Growing for Neural Machine Translation, ACL 2019 [PDF] 摘要

66. Generalized Data Augmentation for Low-Resource Translation, ACL 2019 [PDF] 摘要

67. Better OOV Translation with Bilingual Terminology Mining, ACL 2019 [PDF] 摘要

68. Simultaneous Translation with Flexible Policy via Restricted Imitation Learning, ACL 2019 [PDF] 摘要

69. Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation, ACL 2019 [PDF] 摘要

70. Unsupervised Paraphrasing without Translation, ACL 2019 [PDF] 摘要

71. Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach, ACL 2019 [PDF] 摘要

72. Exploiting Sentential Context for Neural Machine Translation, ACL 2019 [PDF] 摘要

73. A Multi-Task Architecture on Relevance-based Neural Query Translation, ACL 2019 [PDF] 摘要

74. Latent Variable Model for Multi-modal Translation, ACL 2019 [PDF] 摘要

75. Lattice Transformer for Speech Translation, ACL 2019 [PDF] 摘要

76. Distilling Translations with Visual Awareness, ACL 2019 [PDF] 摘要

77. Paraphrases as Foreign Languages in Multilingual Neural Machine Translation, ACL 2019 [PDF] 摘要

78. Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise, ACL 2019 [PDF] 摘要

79. Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation, ACL 2019 [PDF] 摘要

80. Attention over Heads: A Multi-Hop Attention for Neural Machine Translation, ACL 2019 [PDF] 摘要

81. From Bilingual to Multilingual Neural Machine Translation by Incremental Training, ACL 2019 [PDF] 摘要

82. Normalizing Non-canonical Turkish Texts Using Machine Translation Approaches, ACL 2019 [PDF] 摘要

83. English-Indonesian Neural Machine Translation for Spoken Language Domains, ACL 2019 [PDF] 摘要

84. Demonstration of a Neural Machine Translation System with Online Learning for Translators, ACL 2019 [PDF] 摘要

85. English-Ethiopian Languages Statistical Machine Translation, ACL 2019 [PDF] 摘要

86. Benchmarking Neural Machine Translation for Southern African Languages, ACL 2019 [PDF] 摘要

87. Assessing the Ability of Neural Machine Translation Models to Perform Syntactic Rewriting, ACL 2019 [PDF] 摘要

88. Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-Editing, ACL 2019 [PDF] 摘要

89. Building English-to-Serbian Machine Translation System for IMDb Movie Reviews, ACL 2019 [PDF] 摘要

90. Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection, ACL 2019 [PDF] 摘要

91. Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques, ACL 2019 [PDF] 摘要

92. On Measuring Gender Bias in Translation of Gender-neutral Pronouns, ACL 2019 [PDF] 摘要

93. Assessing Back-Translation as a Corpus Generation Strategy for non-English Tasks: A Study in Reading Comprehension and Word Sense Disambiguation, ACL 2019 [PDF] 摘要

94. An Evaluation of Language-Agnostic Inner-Attention-Based Representations in Machine Translation, ACL 2019 [PDF] 摘要

95. Auto-Encoding Variational Neural Machine Translation, ACL 2019 [PDF] 摘要

96. Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings, ACL 2019 [PDF] 摘要

97. Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation, ACL 2019 [PDF] 摘要

98. Translating Between Morphologically Rich Languages: An Arabic-to-Turkish Machine Translation System, ACL 2019 [PDF] 摘要

99. Unsupervised Compositional Translation of Multiword Expressions, ACL 2019 [PDF] 摘要

100. Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), ACL 2019 [PDF] 摘要

101. Saliency-driven Word Alignment Interpretation for Neural Machine Translation, ACL 2019 [PDF] 摘要

102. Improving Zero-shot Translation with Language-Independent Constraints, ACL 2019 [PDF] 摘要

103. Incorporating Source Syntax into Transformer-Based Neural Machine Translation, ACL 2019 [PDF] 摘要

104. Generalizing Back-Translation in Neural Machine Translation, ACL 2019 [PDF] 摘要

105. Tagged Back-Translation, ACL 2019 [PDF] 摘要

106. The Effect of Translationese in Machine Translation Test Sets, ACL 2019 [PDF] 摘要

107. Customizing Neural Machine Translation for Subtitling, ACL 2019 [PDF] 摘要

108. Integration of Dubbing Constraints into Machine Translation, ACL 2019 [PDF] 摘要

109. Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts, ACL 2019 [PDF] 摘要

110. A High-Quality Multilingual Dataset for Structured Documentation Translation, ACL 2019 [PDF] 摘要

111. Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), ACL 2019 [PDF] 摘要

112. Findings of the 2019 Conference on Machine Translation (WMT19), ACL 2019 [PDF] 摘要

113. Findings of the First Shared Task on Machine Translation Robustness, ACL 2019 [PDF] 摘要

114. The University of Edinburgh’s Submissions to the WMT19 News Translation Task, ACL 2019 [PDF] 摘要

115. GTCOM Neural Machine Translation Systems for WMT19, ACL 2019 [PDF] 摘要

116. Machine Translation with parfda, Moses, kenlm, nplm, and PRO, ACL 2019 [PDF] 摘要

117. LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs, ACL 2019 [PDF] 摘要

118. The University of Maryland’s Kazakh-English Neural Machine Translation System at WMT19, ACL 2019 [PDF] 摘要

119. DBMS-KU Interpolation for WMT19 News Translation Task, ACL 2019 [PDF] 摘要

120. The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT, ACL 2019 [PDF] 摘要

121. NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task, ACL 2019 [PDF] 摘要

122. The University of Sydney’s Machine Translation System for WMT19, ACL 2019 [PDF] 摘要

123. The IIIT-H Gujarati-English Machine Translation System for WMT19, ACL 2019 [PDF] 摘要

124. Kingsoft’s Neural Machine Translation System for WMT19, ACL 2019 [PDF] 摘要

125. Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models, ACL 2019 [PDF] 摘要

126. The MLLP-UPV Supervised Machine Translation Systems for WMT19 News Translation Task, ACL 2019 [PDF] 摘要

127. Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation, ACL 2019 [PDF] 摘要

128. CUNI Systems for the Unsupervised News Translation Task in WMT 2019, ACL 2019 [PDF] 摘要

129. A Comparison on Fine-grained Pre-trained Embeddings for the WMT19Chinese-English News Translation Task, ACL 2019 [PDF] 摘要

130. The NiuTrans Machine Translation Systems for WMT19, ACL 2019 [PDF] 摘要

131. Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation, ACL 2019 [PDF] 摘要

132. Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring, ACL 2019 [PDF] 摘要

133. JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English, ACL 2019 [PDF] 摘要

134. Johns Hopkins University Submission for WMT News Translation Task, ACL 2019 [PDF] 摘要

135. NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task, ACL 2019 [PDF] 摘要

136. PROMT Systems for WMT 2019 Shared Translation Task, ACL 2019 [PDF] 摘要

137. JU-Saarland Submission to the WMT2019 English–Gujarati Translation Shared Task, ACL 2019 [PDF] 摘要

138. Facebook FAIR’s WMT19 News Translation Task Submission, ACL 2019 [PDF] 摘要

139. eTranslation’s Submissions to the WMT 2019 News Translation Task, ACL 2019 [PDF] 摘要

140. Tilde’s Machine Translation Systems for WMT 2019, ACL 2019 [PDF] 摘要

141. Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task, ACL 2019 [PDF] 摘要

142. The RWTH Aachen University Machine Translation Systems for WMT 2019, ACL 2019 [PDF] 摘要

143. The Universitat d’Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019, ACL 2019 [PDF] 摘要

144. Baidu Neural Machine Translation Systems for WMT19, ACL 2019 [PDF] 摘要

145. University of Tartu’s Multilingual Multi-domain WMT19 News Translation Shared Task Submission, ACL 2019 [PDF] 摘要

146. Neural Machine Translation for English–Kazakh with Morphological Segmentation and Synthetic Data, ACL 2019 [PDF] 摘要

147. The LMU Munich Unsupervised Machine Translation System for WMT19, ACL 2019 [PDF] 摘要

148. Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19, ACL 2019 [PDF] 摘要

149. IITP-MT System for Gujarati-English News Translation Task at WMT 2019, ACL 2019 [PDF] 摘要

150. The University of Helsinki Submissions to the WMT19 News Translation Task, ACL 2019 [PDF] 摘要

151. The En-Ru Two-way Integrated Machine Translation System Based on Transformer, ACL 2019 [PDF] 摘要

152. DFKI-NMT Submission to the WMT19 News Translation Task, ACL 2019 [PDF] 摘要

153. Linguistic Evaluation of German-English Machine Translation Using a Test Suite, ACL 2019 [PDF] 摘要

154. Evaluating Conjunction Disambiguation on English-to-German and French-to-German WMT 2019 Translation Hypotheses, ACL 2019 [PDF] 摘要

155. The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation, ACL 2019 [PDF] 摘要

156. SAO WMT19 Test Suite: Machine Translation of Audit Reports, ACL 2019 [PDF] 摘要

157. WMDO: Fluency-based Word Mover’s Distance for Machine Translation Evaluation, ACL 2019 [PDF] 摘要

158. Meteor++ 2.0: Adopt Syntactic Level Paraphrase Knowledge into Machine Translation Evaluation, ACL 2019 [PDF] 摘要

159. EED: Extended Edit Distance Measure for Machine Translation, ACL 2019 [PDF] 摘要

160. Filtering Pseudo-References by Paraphrasing for Automatic Evaluation of Machine Translation, ACL 2019 [PDF] 摘要

161. Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task, ACL 2019 [PDF] 摘要

162. NICT’s Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task, ACL 2019 [PDF] 摘要

163. NTT’s Machine Translation Systems for WMT19 Robustness Task, ACL 2019 [PDF] 摘要

164. Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report, ACL 2019 [PDF] 摘要

165. Improving Robustness of Neural Machine Translation with Multi-task Learning, ACL 2019 [PDF] 摘要

166. Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), ACL 2019 [PDF] 摘要

167. Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies, ACL 2019 [PDF] 摘要

168. RTM Stacking Results for Machine Translation Performance Prediction, ACL 2019 [PDF] 摘要

169. Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task, ACL 2019 [PDF] 摘要

170. Quality Estimation and Translation Metrics via Pre-trained Word and Sentence Embeddings, ACL 2019 [PDF] 摘要

171. SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation, ACL 2019 [PDF] 摘要

172. Terminology-Aware Segmentation and Domain Feature for the WMT19 Biomedical Translation Task, ACL 2019 [PDF] 摘要

173. Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation, ACL 2019 [PDF] 摘要

174. Huawei’s NMT Systems for the WMT 2019 Biomedical Translation Task, ACL 2019 [PDF] 摘要

175. UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles, ACL 2019 [PDF] 摘要

176. BSC Participation in the WMT Translation of Biomedical Abstracts, ACL 2019 [PDF] 摘要

177. The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation Task, ACL 2019 [PDF] 摘要

178. The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation, ACL 2019 [PDF] 摘要

179. Machine Translation from an Intercomprehension Perspective, ACL 2019 [PDF] 摘要

180. Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task, ACL 2019 [PDF] 摘要

181. Neural Machine Translation: Hindi-Nepali, ACL 2019 [PDF] 摘要

182. NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task, ACL 2019 [PDF] 摘要

183. Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019, ACL 2019 [PDF] 摘要

184. UDS–DFKI Submission to the WMT2019 Czech–Polish Similar Language Translation Shared Task, ACL 2019 [PDF] 摘要

185. Neural Machine Translation of Low-Resource and Similar Languages with Backtranslation, ACL 2019 [PDF] 摘要

186. The University of Helsinki Submissions to the WMT19 Similar Language Translation Task, ACL 2019 [PDF] 摘要

187. Incorporating Source-Side Phrase Structures into Neural Machine Translation, CL 2019 [PDF] 摘要

188. Contextualized Translations of Phrasal Verbs with Distributional Compositional Semantics and Monolingual Corpora, CL 2019 [PDF] 摘要

189. Explicit Cross-lingual Pre-training for Unsupervised Machine Translation, EMNLP 2019 [PDF] 摘要

190. Latent Part-of-Speech Sequences for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

191. Improving Back-Translation with Uncertainty-based Confidence Estimation, EMNLP 2019 [PDF] 摘要

192. Towards Linear Time Neural Machine Translation with Capsule Networks, EMNLP 2019 [PDF] 摘要

193. Iterative Dual Domain Adaptation for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

194. Multi-agent Learning for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

195. Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages, EMNLP 2019 [PDF] 摘要

196. Context-Aware Monolingual Repair for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

197. Multi-Granularity Self-Attention for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

198. One Model to Learn Both: Zero Pronoun Prediction and Translation, EMNLP 2019 [PDF] 摘要

199. Dynamic Past and Future for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

200. Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach, EMNLP 2019 [PDF] 摘要

201. Towards Understanding Neural Machine Translation with Word Importance, EMNLP 2019 [PDF] 摘要

202. Multilingual Neural Machine Translation with Language Clustering, EMNLP 2019 [PDF] 摘要

203. Entity Projection via Machine Translation for Cross-Lingual NER, EMNLP 2019 [PDF] 摘要

204. Multilingual word translation using auxiliary languages, EMNLP 2019 [PDF] 摘要

205. Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation, EMNLP 2019 [PDF] 摘要

206. Recurrent Positional Embedding for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

207. Machine Translation for Machines: the Sentiment Classification Use Case, EMNLP 2019 [PDF] 摘要

208. HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation, EMNLP 2019 [PDF] 摘要

209. Handling Syntactic Divergence in Low-resource Machine Translation, EMNLP 2019 [PDF] 摘要

210. Speculative Beam Search for Simultaneous Translation, EMNLP 2019 [PDF] 摘要

211. Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation, EMNLP 2019 [PDF] 摘要

212. Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings, EMNLP 2019 [PDF] 摘要

213. Encoders Help You Disambiguate Word Senses in Neural Machine Translation, EMNLP 2019 [PDF] 摘要

214. Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation, EMNLP 2019 [PDF] 摘要

215. Simple, Scalable Adaptation for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

216. Controlling Text Complexity in Neural Machine Translation, EMNLP 2019 [PDF] 摘要

217. Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation, EMNLP 2019 [PDF] 摘要

218. Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite, EMNLP 2019 [PDF] 摘要

219. IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation, EMNLP 2019 [PDF] 摘要

220. The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval, EMNLP 2019 [PDF] 摘要

221. A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation, EMNLP 2019 [PDF] 摘要

222. Exploiting Monolingual Data at Scale for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

223. Machine Translation With Weakly Paired Documents, EMNLP 2019 [PDF] 摘要

224. The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives, EMNLP 2019 [PDF] 摘要

225. Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization, EMNLP 2019 [PDF] 摘要

226. Simple and Effective Noisy Channel Modeling for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

227. Hint-Based Training for Non-Autoregressive Machine Translation, EMNLP 2019 [PDF] 摘要

228. The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English, EMNLP 2019 [PDF] 摘要

229. INMT: Interactive Neural Machine Translation Prediction, EMNLP 2019 [PDF] 摘要

230. Proceedings of the 6th Workshop on Asian Translation, EMNLP 2019 [PDF] 摘要

231. Overview of the 6th Workshop on Asian Translation, EMNLP 2019 [PDF] 摘要

232. Compact and Robust Models for Japanese-English Character-level Machine Translation, EMNLP 2019 [PDF] 摘要

233. Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation, EMNLP 2019 [PDF] 摘要

234. English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning, EMNLP 2019 [PDF] 摘要

235. Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English, EMNLP 2019 [PDF] 摘要

236. English-Myanmar Supervised and Unsupervised NMT: NICT’s Machine Translation Systems at WAT-2019, EMNLP 2019 [PDF] 摘要

237. UCSMNLP: Statistical Machine Translation for WAT 2019, EMNLP 2019 [PDF] 摘要

238. NTT Neural Machine Translation Systems at WAT 2019, EMNLP 2019 [PDF] 摘要

239. Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019, EMNLP 2019 [PDF] 摘要

240. Facebook AI’s WAT19 Myanmar-English Translation Task Submission, EMNLP 2019 [PDF] 摘要

241. Combining Translation Memory with Neural Machine Translation, EMNLP 2019 [PDF] 摘要

242. LTRC-MT Simple & Effective Hindi-English Neural Machine Translation Systems at WAT 2019, EMNLP 2019 [PDF] 摘要

243. Supervised neural machine translation based on data augmentation and improved training & inference process, EMNLP 2019 [PDF] 摘要

244. Our Neural Machine Translation Systems for WAT 2019, EMNLP 2019 [PDF] 摘要

245. Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019, EMNLP 2019 [PDF] 摘要

246. NLPRL at WAT2019: Transformer-based Tamil – English Indic Task Neural Machine Translation System, EMNLP 2019 [PDF] 摘要

247. Idiap NMT System for WAT 2019 Multimodal Translation Task, EMNLP 2019 [PDF] 摘要

248. WAT2019: English-Hindi Translation on Hindi Visual Genome Dataset, EMNLP 2019 [PDF] 摘要

249. UCSYNLP-Lab Machine Translation Systems for WAT 2019, EMNLP 2019 [PDF] 摘要

250. Sentiment Aware Neural Machine Translation, EMNLP 2019 [PDF] 摘要

251. Overcoming the Rare Word Problem for low-resource language pairs in Neural Machine Translation, EMNLP 2019 [PDF] 摘要

252. Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation, EMNLP 2019 [PDF] 摘要

253. Neural Speech Translation using Lattice Transformations and Graph Networks, EMNLP 2019 [PDF] 摘要

254. Multilingual Whispers: Generating Paraphrases with Translation, EMNLP 2019 [PDF] 摘要

255. Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation, EMNLP 2019 [PDF] 摘要

256. Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-Translation, EMNLP 2019 [PDF] 摘要

257. Phonetic Normalization for Machine Translation of User Generated Content, EMNLP 2019 [PDF] 摘要

258. Proceedings of the 3rd Workshop on Neural Generation and Translation, EMNLP 2019 [PDF] 摘要

259. Findings of the Third Workshop on Neural Generation and Translation, EMNLP 2019 [PDF] 摘要

260. Recycling a Pre-trained BERT Encoder for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

261. Domain Differential Adaptation for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

262. Zero-Resource Neural Machine Translation with Monolingual Pivot Data, EMNLP 2019 [PDF] 摘要

263. On the use of BERT for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

264. Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness, EMNLP 2019 [PDF] 摘要

265. Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation, EMNLP 2019 [PDF] 摘要

266. On the Importance of Word Boundaries in Character-level Neural Machine Translation, EMNLP 2019 [PDF] 摘要

267. A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation, EMNLP 2019 [PDF] 摘要

268. Mixed Multi-Head Self-Attention for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

269. Interrogating the Explanatory Power of Attention in Neural Machine Translation, EMNLP 2019 [PDF] 摘要

270. Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation, EMNLP 2019 [PDF] 摘要

271. Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation, EMNLP 2019 [PDF] 摘要

272. Monash University’s Submissions to the WNGT 2019 Document Translation Task, EMNLP 2019 [PDF] 摘要

273. University of Edinburgh’s submission to the Document-level Generation and Translation Shared Task, EMNLP 2019 [PDF] 摘要

274. Naver Labs Europe’s Systems for the Document-Level Generation and Translation Task at WNGT 2019, EMNLP 2019 [PDF] 摘要

275. From Research to Production and Back: Ludicrously Fast Neural Machine Translation, EMNLP 2019 [PDF] 摘要

276. Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation, EMNLP 2019 [PDF] 摘要

277. Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations, EMNLP 2019 [PDF] 摘要

278. Understanding the Effect of Textual Adversaries in Multimodal Machine Translation, EMNLP 2019 [PDF] 摘要

279. Proceedings of the Fourth Workshop on Discourse in Machine Translation (DiscoMT 2019), EMNLP 2019 [PDF] 摘要

280. Context-Aware Neural Machine Translation Decoding, EMNLP 2019 [PDF] 摘要

281. When and Why is Document-level Context Useful in Neural Machine Translation?, EMNLP 2019 [PDF] 摘要

282. Data augmentation using back-translation for context-aware neural machine translation, EMNLP 2019 [PDF] 摘要

283. Context-aware Neural Machine Translation with Coreference Information, EMNLP 2019 [PDF] 摘要

284. Learning Multimodal Graph-to-Graph Translation for Molecule Optimization, ICLR 2019 [PDF] 摘要

285. Identifying and Controlling Important Neurons in Neural Machine Translation, ICLR 2019 [PDF] 摘要

286. A Universal Music Translation Network, ICLR 2019 [PDF] 摘要

287. Harmonic Unpaired Image-to-image Translation, ICLR 2019 [PDF] 摘要

288. Multilingual Neural Machine Translation with Knowledge Distillation, ICLR 2019 [PDF] 摘要

289. Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency, ICLR 2019 [PDF] 摘要

290. Multilingual Neural Machine Translation With Soft Decoupled Encoding, ICLR 2019 [PDF] 摘要

291. InstaGAN: Instance-aware Image-to-Image Translation, ICLR 2019 [PDF] 摘要

292. Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation, ICML 2019 [PDF] 摘要

293. Mixture Models for Diverse Machine Translation: Tricks of the Trade, ICML 2019 [PDF] 摘要

294. Dense Temporal Convolution Network for Sign Language Translation, IJCAI 2019 [PDF] 摘要

295. Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling, IJCAI 2019 [PDF] 摘要

296. Deliberation Learning for Image-to-Image Translation, IJCAI 2019 [PDF] 摘要

297. Image-to-Image Translation with Multi-Path Consistency Regularization, IJCAI 2019 [PDF] 摘要

298. From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots, IJCAI 2019 [PDF] 摘要

299. Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models, IJCAI 2019 [PDF] 摘要

300. Pre-training on high-resource speech recognition improves low-resource speech-to-text translation, NAACL 2019 [PDF] 摘要

301. ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems, NAACL 2019 [PDF] 摘要

302. Lost in Machine Translation: A Method to Reduce Meaning Loss, NAACL 2019 [PDF] 摘要

303. Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation, NAACL 2019 [PDF] 摘要

304. Code-Switching for Enhancing NMT with Pre-Specified Translation, NAACL 2019 [PDF] 摘要

305. Understanding and Improving Hidden Representations for Neural Machine Translation, NAACL 2019 [PDF] 摘要

306. Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting, NAACL 2019 [PDF] 摘要

307. Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations, NAACL 2019 [PDF] 摘要

308. Competence-based Curriculum Learning for Neural Machine Translation, NAACL 2019 [PDF] 摘要

309. Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation, NAACL 2019 [PDF] 摘要

310. Consistency by Agreement in Zero-Shot Neural Machine Translation, NAACL 2019 [PDF] 摘要

311. Learning to Stop in Structured Prediction for Neural Machine Translation, NAACL 2019 [PDF] 摘要

312. Curriculum Learning for Domain Adaptation in Neural Machine Translation, NAACL 2019 [PDF] 摘要

313. Improving Robustness of Machine Translation with Synthetic Noise, NAACL 2019 [PDF] 摘要

314. Non-Parametric Adaptation for Neural Machine Translation, NAACL 2019 [PDF] 摘要

315. Online Distilling from Checkpoints for Neural Machine Translation, NAACL 2019 [PDF] 摘要

316. MuST-C: a Multilingual Speech Translation Corpus, NAACL 2019 [PDF] 摘要

317. Improving Neural Machine Translation with Neural Syntactic Distance, NAACL 2019 [PDF] 摘要

318. Measuring Immediate Adaptation Performance for Neural Machine Translation, NAACL 2019 [PDF] 摘要

319. Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation, NAACL 2019 [PDF] 摘要

320. Reinforcement Learning based Curriculum Optimization for Neural Machine Translation, NAACL 2019 [PDF] 摘要

321. Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation, NAACL 2019 [PDF] 摘要

322. Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout, NAACL 2019 [PDF] 摘要

323. Fluent Translations from Disfluent Speech in End-to-End Speech Translation, NAACL 2019 [PDF] 摘要

324. Neural Machine Translation of Text from Non-Native Speakers, NAACL 2019 [PDF] 摘要

325. Improving Domain Adaptation Translation with Domain Invariant and Specific Information, NAACL 2019 [PDF] 摘要

326. Selective Attention for Context-aware Neural Machine Translation, NAACL 2019 [PDF] 摘要

327. Unsupervised Extraction of Partial Translations for Neural Machine Translation, NAACL 2019 [PDF] 摘要

328. Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training, NAACL 2019 [PDF] 摘要

329. Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages, NAACL 2019 [PDF] 摘要

330. Massively Multilingual Neural Machine Translation, NAACL 2019 [PDF] 摘要

331. Probing the Need for Visual Context in Multimodal Machine Translation, NAACL 2019 [PDF] 摘要

332. Multimodal Machine Translation with Embedding Prediction, NAACL 2019 [PDF] 摘要

333. Train, Sort, Explain: Learning to Diagnose Translation Models, NAACL 2019 [PDF] 摘要

334. Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese), NAACL 2019 [PDF] 摘要

335. Comparing Pipelined and Integrated Approaches to Dialectal Arabic Neural Machine Translation, NAACL 2019 [PDF] 摘要

336. A Blissymbolics Translation System, NAACL 2019 [PDF] 摘要

337. Grounded Word Sense Translation, NAACL 2019 [PDF] 摘要

338. Multi-mapping Image-to-Image Translation via Learning Disentanglement, NeurIPS 2019 [PDF] 摘要

339. Flow-based Image-to-Image Translation with Feature Disentanglement, NeurIPS 2019 [PDF] 摘要

340. Comparing Unsupervised Word Translation Methods Step by Step, NeurIPS 2019 [PDF] 摘要

341. Neural Machine Translation with Soft Prototype, NeurIPS 2019 [PDF] 摘要

342. Explicitly disentangling image content from translation and rotation with spatial-VAE, NeurIPS 2019 [PDF] 摘要

343. Semantic Neural Machine Translation Using AMR, TACL 2019 [PDF] 摘要

344. Synchronous Bidirectional Neural Machine Translation, TACL 2019 [PDF] 摘要

345. Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation, TACL 2019 [PDF] 摘要

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【NLP】 2020 Neural Machine Translation 机器翻译相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 292k 8:07

目录

1. Modeling Fluency and Faithfulness for Diverse Neural Machine Translation, AAAI 2020 [PDF] 摘要

2. Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation, AAAI 2020 [PDF] 摘要

3. Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion, AAAI 2020 [PDF] 摘要

4. Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation, AAAI 2020 [PDF] 摘要

5. GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering, AAAI 2020 [PDF] 摘要

6. Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation, AAAI 2020 [PDF] 摘要

7. Distilling Portable Generative Adversarial Networks for Image Translation, AAAI 2020 [PDF] 摘要

8. Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance, AAAI 2020 [PDF] 摘要

9. Transductive Ensemble Learning for Neural Machine Translation, AAAI 2020 [PDF] 摘要

10. Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation, AAAI 2020 [PDF] 摘要

11. One Homonym per Translation, AAAI 2020 [PDF] 摘要

12. Neuron Interaction Based Representation Composition for Neural Machine Translation, AAAI 2020 [PDF] 摘要

13. MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation, AAAI 2020 [PDF] 摘要

14. Neural Machine Translation with Joint Representation, AAAI 2020 [PDF] 摘要

15. Explicit Sentence Compression for Neural Machine Translation, AAAI 2020 [PDF] 摘要

16. Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding, AAAI 2020 [PDF] 摘要

17. Simplify-Then-Translate: Automatic Preprocessing for Black-Box Translation, AAAI 2020 [PDF] 摘要

18. Controlling Neural Machine Translation Formality with Synthetic Supervision, AAAI 2020 [PDF] 摘要

19. Translation-Based Matching Adversarial Network for Cross-Lingual Natural Language Inference, AAAI 2020 [PDF] 摘要

20. IntroVNMT: An Introspective Model for Variational Neural Machine Translation, AAAI 2020 [PDF] 摘要

21. Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior, AAAI 2020 [PDF] 摘要

22. Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation, AAAI 2020 [PDF] 摘要

23. Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations, AAAI 2020 [PDF] 摘要

24. Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning, AAAI 2020 [PDF] 摘要

25. Generating Diverse Translation by Manipulating Multi-Head Attention, AAAI 2020 [PDF] 摘要

26. Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling, AAAI 2020 [PDF] 摘要

27. Neural Machine Translation with Byte-Level Subwords, AAAI 2020 [PDF] 摘要

28. Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation, AAAI 2020 [PDF] 摘要

29. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks, AAAI 2020 [PDF] 摘要

30. Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation, AAAI 2020 [PDF] 摘要

31. Towards Making the Most of BERT in Neural Machine Translation, AAAI 2020 [PDF] 摘要

32. Visual Agreement Regularized Training for Multi-Modal Machine Translation, AAAI 2020 [PDF] 摘要

33. Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding, AAAI 2020 [PDF] 摘要

34. Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models, AAAI 2020 [PDF] 摘要

35. Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation, AAAI 2020 [PDF] 摘要

36. Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders, AAAI 2020 [PDF] 摘要

37. Multimodal Structure-Consistent Image-to-Image Translation, AAAI 2020 [PDF] 摘要

38. Learning to Transfer: Unsupervised Domain Translation via Meta-Learning, AAAI 2020 [PDF] 摘要

39. Content Word Aware Neural Machine Translation, ACL 2020 [PDF] 摘要

40. Evaluating Explanation Methods for Neural Machine Translation, ACL 2020 [PDF] 摘要

41. Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation, ACL 2020 [PDF] 摘要

42. Learning Source Phrase Representations for Neural Machine Translation, ACL 2020 [PDF] 摘要

43. Multiscale Collaborative Deep Models for Neural Machine Translation, ACL 2020 [PDF] 摘要

44. Norm-Based Curriculum Learning for Neural Machine Translation, ACL 2020 [PDF] 摘要

45. Opportunistic Decoding with Timely Correction for Simultaneous Translation, ACL 2020 [PDF] 摘要

46. Multi-Hypothesis Machine Translation Evaluation, ACL 2020 [PDF] 摘要

47. Multimodal Quality Estimation for Machine Translation, ACL 2020 [PDF] 摘要

48. Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences, ACL 2020 [PDF] 摘要

49. Boosting Neural Machine Translation with Similar Translations, ACL 2020 [PDF] 摘要

50. Character-Level Translation with Self-attention, ACL 2020 [PDF] 摘要

51. Enhancing Machine Translation with Dependency-Aware Self-Attention, ACL 2020 [PDF] 摘要

52. Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation, ACL 2020 [PDF] 摘要

53. It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information, ACL 2020 [PDF] 摘要

54. Language-aware Interlingua for Multilingual Neural Machine Translation, ACL 2020 [PDF] 摘要

55. On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation, ACL 2020 [PDF] 摘要

56. “You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases, ACL 2020 [PDF] 摘要

57. MMPE: A Multi-Modal Interface for Post-Editing Machine Translation, ACL 2020 [PDF] 摘要

58. Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing, ACL 2020 [PDF] 摘要

59. Improving Non-autoregressive Neural Machine Translation with Monolingual Data, ACL 2020 [PDF] 摘要

60. Phone Features Improve Speech Translation, ACL 2020 [PDF] 摘要

61. ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation, ACL 2020 [PDF] 摘要

62. Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation, ACL 2020 [PDF] 摘要

63. On The Evaluation of Machine Translation Systems Trained With Back-Translation, ACL 2020 [PDF] 摘要

64. Simultaneous Translation Policies: From Fixed to Adaptive, ACL 2020 [PDF] 摘要

65. A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation, ACL 2020 [PDF] 摘要

66. Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation, ACL 2020 [PDF] 摘要

67. Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation, ACL 2020 [PDF] 摘要

68. On the Inference Calibration of Neural Machine Translation, ACL 2020 [PDF] 摘要

69. A Reinforced Generation of Adversarial Examples for Neural Machine Translation, ACL 2020 [PDF] 摘要

70. A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation, ACL 2020 [PDF] 摘要

71. A Simple and Effective Unified Encoder for Document-Level Machine Translation, ACL 2020 [PDF] 摘要

72. Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation, ACL 2020 [PDF] 摘要

73. Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation, ACL 2020 [PDF] 摘要

74. Lexically Constrained Neural Machine Translation with Levenshtein Transformer, ACL 2020 [PDF] 摘要

75. On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation, ACL 2020 [PDF] 摘要

76. Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model, ACL 2020 [PDF] 摘要

77. Curriculum Pre-training for End-to-End Speech Translation, ACL 2020 [PDF] 摘要

78. SimulSpeech: End-to-End Simultaneous Speech to Text Translation, ACL 2020 [PDF] 摘要

79. Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation, ACL 2020 [PDF] 摘要

80. Modeling Word Formation in English–German Neural Machine Translation, ACL 2020 [PDF] 摘要

81. Multimodal Transformer for Multimodal Machine Translation, ACL 2020 [PDF] 摘要

82. Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics, ACL 2020 [PDF] 摘要

83. AdvAug: Robust Adversarial Augmentation for Neural Machine Translation, ACL 2020 [PDF] 摘要

84. Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns, ACL 2020 [PDF] 摘要

85. Improving Neural Machine Translation with Soft Template Prediction, ACL 2020 [PDF] 摘要

86. Tagged Back-translation Revisited: Why Does It Really Work?, ACL 2020 [PDF] 摘要

87. Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation, ACL 2020 [PDF] 摘要

88. Are we Estimating or Guesstimating Translation Quality?, ACL 2020 [PDF] 摘要

89. Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain, ACL 2020 [PDF] 摘要

90. Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus, ACL 2020 [PDF] 摘要

91. Uncertainty-Aware Curriculum Learning for Neural Machine Translation, ACL 2020 [PDF] 摘要

92. Speech Translation and the End-to-End Promise: Taking Stock of Where We Are, ACL 2020 [PDF] 摘要

93. Hard-Coded Gaussian Attention for Neural Machine Translation, ACL 2020 [PDF] 摘要

94. In Neural Machine Translation, What Does Transfer Learning Transfer?, ACL 2020 [PDF] 摘要

95. Learning a Multi-Domain Curriculum for Neural Machine Translation, ACL 2020 [PDF] 摘要

96. Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem, ACL 2020 [PDF] 摘要

97. Translationese as a Language in “Multilingual” NMT, ACL 2020 [PDF] 摘要

98. Using Context in Neural Machine Translation Training Objectives, ACL 2020 [PDF] 摘要

99. Variational Neural Machine Translation with Normalizing Flows, ACL 2020 [PDF] 摘要

100. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension, ACL 2020 [PDF] 摘要

101. Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting, ACL 2020 [PDF] 摘要

102. Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation, ACL 2020 [PDF] 摘要

103. Balancing Training for Multilingual Neural Machine Translation, ACL 2020 [PDF] 摘要

104. Evaluating Robustness to Input Perturbations for Neural Machine Translation, ACL 2020 [PDF] 摘要

105. Regularized Context Gates on Transformer for Machine Translation, ACL 2020 [PDF] 摘要

106. CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task, ACL 2020 [PDF] 摘要

107. ESPnet-ST: All-in-One Speech Translation Toolkit, ACL 2020 [PDF] 摘要

108. MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation, ACL 2020 [PDF] 摘要

109. Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition, ACL 2020 [PDF] 摘要

110. Multi-Task Neural Model for Agglutinative Language Translation, ACL 2020 [PDF] 摘要

111. Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages, ACL 2020 [PDF] 摘要

112. Pre-training via Leveraging Assisting Languages for Neural Machine Translation, ACL 2020 [PDF] 摘要

113. Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems, ACL 2020 [PDF] 摘要

114. Compositional Generalization by Factorizing Alignment and Translation, ACL 2020 [PDF] 摘要

115. Proceedings of the First Workshop on Automatic Simultaneous Translation, ACL 2020 [PDF] 摘要

116. Dynamic Sentence Boundary Detection for Simultaneous Translation, ACL 2020 [PDF] 摘要

117. End-to-End Speech Translation with Adversarial Training, ACL 2020 [PDF] 摘要

118. Robust Neural Machine Translation with ASR Errors, ACL 2020 [PDF] 摘要

119. Modeling Discourse Structure for Document-level Neural Machine Translation, ACL 2020 [PDF] 摘要

120. Proceedings of the 17th International Conference on Spoken Language Translation, ACL 2020 [PDF] 摘要

121. ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020, ACL 2020 [PDF] 摘要

122. Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University, ACL 2020 [PDF] 摘要

123. KIT’s IWSLT 2020 SLT Translation System, ACL 2020 [PDF] 摘要

124. End-to-End Simultaneous Translation System for IWSLT2020 Using Modality Agnostic Meta-Learning, ACL 2020 [PDF] 摘要

125. DiDi Labs’ End-to-end System for the IWSLT 2020 Offline Speech TranslationTask, ACL 2020 [PDF] 摘要

126. End-to-End Offline Speech Translation System for IWSLT 2020 using Modality Agnostic Meta-Learning, ACL 2020 [PDF] 摘要

127. End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020, ACL 2020 [PDF] 摘要

128. SRPOL’s System for the IWSLT 2020 End-to-End Speech Translation Task, ACL 2020 [PDF] 摘要

129. The University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task, ACL 2020 [PDF] 摘要

130. LIT Team’s System Description for Japanese-Chinese Machine Translation Task in IWSLT 2020, ACL 2020 [PDF] 摘要

131. OPPO’s Machine Translation System for the IWSLT 2020 Open Domain Translation Task, ACL 2020 [PDF] 摘要

132. Character Mapping and Ad-hoc Adaptation: Edinburgh’s IWSLT 2020 Open Domain Translation System, ACL 2020 [PDF] 摘要

133. CASIA’s System for IWSLT 2020 Open Domain Translation, ACL 2020 [PDF] 摘要

134. Deep Blue Sonics’ Submission to IWSLT 2020 Open Domain Translation Task, ACL 2020 [PDF] 摘要

135. University of Tsukuba’s Machine Translation System for IWSLT20 Open Domain Translation Task, ACL 2020 [PDF] 摘要

136. Xiaomi’s Submissions for IWSLT 2020 Open Domain Translation Task, ACL 2020 [PDF] 摘要

137. ISTIC’s Neural Machine Translation System for IWSLT’2020, ACL 2020 [PDF] 摘要

138. Octanove Labs’ Japanese-Chinese Open Domain Translation System, ACL 2020 [PDF] 摘要

139. NAIST’s Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task, ACL 2020 [PDF] 摘要

140. Generating Fluent Translations from Disfluent Text Without Access to Fluent References: IIT Bombay@IWSLT2020, ACL 2020 [PDF] 摘要

141. The HW-TSC Video Speech Translation System at IWSLT 2020, ACL 2020 [PDF] 摘要

142. ELITR Non-Native Speech Translation at IWSLT 2020, ACL 2020 [PDF] 摘要

143. Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?, ACL 2020 [PDF] 摘要

144. Re-translation versus Streaming for Simultaneous Translation, ACL 2020 [PDF] 摘要

145. Towards Stream Translation: Adaptive Computation Time for Simultaneous Machine Translation, ACL 2020 [PDF] 摘要

146. Neural Simultaneous Speech Translation Using Alignment-Based Chunking, ACL 2020 [PDF] 摘要

147. From Speech-to-Speech Translation to Automatic Dubbing, ACL 2020 [PDF] 摘要

148. Joint Translation and Unit Conversion for End-to-end Localization, ACL 2020 [PDF] 摘要

149. How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech, ACL 2020 [PDF] 摘要

150. Proceedings of the Fourth Workshop on Neural Generation and Translation, ACL 2020 [PDF] 摘要

151. Findings of the Fourth Workshop on Neural Generation and Translation, ACL 2020 [PDF] 摘要

152. Compressing Neural Machine Translation Models with 4-bit Precision, ACL 2020 [PDF] 摘要

153. The Unreasonable Volatility of Neural Machine Translation Models, ACL 2020 [PDF] 摘要

154. Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation, ACL 2020 [PDF] 摘要

155. Training and Inference Methods for High-Coverage Neural Machine Translation, ACL 2020 [PDF] 摘要

156. English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs, ACL 2020 [PDF] 摘要

157. The ADAPT System Description for the STAPLE 2020 English-to-Portuguese Translation Task, ACL 2020 [PDF] 摘要

158. Exploring Model Consensus to Generate Translation Paraphrases, ACL 2020 [PDF] 摘要

159. Growing Together: Modeling Human Language Learning With n-Best Multi-Checkpoint Machine Translation, ACL 2020 [PDF] 摘要

160. Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task, ACL 2020 [PDF] 摘要

161. The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education, ACL 2020 [PDF] 摘要

162. Simultaneous paraphrasing and translation by fine-tuning Transformer models, ACL 2020 [PDF] 摘要

163. Efficient and High-Quality Neural Machine Translation with OpenNMT, ACL 2020 [PDF] 摘要

164. Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task, ACL 2020 [PDF] 摘要

165. Improving Document-Level Neural Machine Translation with Domain Adaptation, ACL 2020 [PDF] 摘要

166. Simultaneous Translation and Paraphrase for Language Education, ACL 2020 [PDF] 摘要

167. A Translation-Based Approach to Morphology Learning for Low Resource Languages, ACL 2020 [PDF] 摘要

168. FFR v1.1: Fon-French Neural Machine Translation, ACL 2020 [PDF] 摘要

169. Towards Mitigating Gender Bias in a decoder-based Neural Machine Translation model by Adding Contextual Information, ACL 2020 [PDF] 摘要

170. Multitask Models for Controlling the Complexity of Neural Machine Translation, ACL 2020 [PDF] 摘要

171. HausaMT v1.0: Towards English–Hausa Neural Machine Translation, ACL 2020 [PDF] 摘要

172. An Evaluation of Subword Segmentation Strategies for Neural Machine Translation of Morphologically Rich Languages, ACL 2020 [PDF] 摘要

173. On the Linguistic Representational Power of Neural Machine Translation Models, CL 2020 [PDF] 摘要

174. Unsupervised Word Translation with Adversarial Autoencoder, CL 2020 [PDF] 摘要

175. A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation, CL 2020 [PDF] 摘要

176. Imitation Attacks and Defenses for Black-box Machine Translation Systems, EMNLP 2020 [PDF] 摘要

177. Shallow-to-Deep Training for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

178. CSP: Code-Switching Pre-training for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

179. Non-Autoregressive Machine Translation with Latent Alignments, EMNLP 2020 [PDF] 摘要

180. Language Model Prior for Low-Resource Neural Machine Translation, EMNLP 2020 [PDF] 摘要

181. Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation, EMNLP 2020 [PDF] 摘要

182. Translationese in Machine Translation Evaluation, EMNLP 2020 [PDF] 摘要

183. Towards Enhancing Faithfulness for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

184. Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing, EMNLP 2020 [PDF] 摘要

185. Uncertainty-Aware Semantic Augmentation for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

186. Iterative Domain-Repaired Back-Translation, EMNLP 2020 [PDF] 摘要

187. Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation, EMNLP 2020 [PDF] 摘要

188. Simultaneous Machine Translation with Visual Context, EMNLP 2020 [PDF] 摘要

189. Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation, EMNLP 2020 [PDF] 摘要

190. Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning, EMNLP 2020 [PDF] 摘要

191. Dynamic Data Selection and Weighting for Iterative Back-Translation, EMNLP 2020 [PDF] 摘要

192. Multi-task Learning for Multilingual Neural Machine Translation, EMNLP 2020 [PDF] 摘要

193. Accurate Word Alignment Induction from Neural Machine Translation, EMNLP 2020 [PDF] 摘要

194. Token-level Adaptive Training for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

195. Multi-Unit Transformers for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

196. Translation Artifacts in Cross-lingual Transfer Learning, EMNLP 2020 [PDF] 摘要

197. Towards Detecting and Exploiting Disambiguation Biases in Neural Machine Translation, EMNLP 2020 [PDF] 摘要

198. Direct Segmentation Models for Streaming Speech Translation, EMNLP 2020 [PDF] 摘要

199. Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation, EMNLP 2020 [PDF] 摘要

200. An Empirical Study of Generation Order for Machine Translation, EMNLP 2020 [PDF] 摘要

201. Distilling Multiple Domains for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

202. Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

203. Bridging Linguistic Typology and Multilingual Machine Translation with Multi-view Language Representations, EMNLP 2020 [PDF] 摘要

204. Improving Word Sense Disambiguation with Translations, EMNLP 2020 [PDF] 摘要

205. PyMT5: Multi-mode Translation of Natural Language and Python Code with Transformers, EMNLP 2020 [PDF] 摘要

206. Learning Adaptive Segmentation Policy for Simultaneous Translation, EMNLP 2020 [PDF] 摘要

207. ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization, EMNLP 2020 [PDF] 摘要

208. Generating Diverse Translation from Model Distribution with Dropout, EMNLP 2020 [PDF] 摘要

209. Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information, EMNLP 2020 [PDF] 摘要

210. Self-Paced Learning for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

211. Simulated Multiple Reference Training Improves Low-Resource Machine Translation, EMNLP 2020 [PDF] 摘要

212. On the Sparsity of Neural Machine Translation Models, EMNLP 2020 [PDF] 摘要

213. Translation Quality Estimation by Jointly Learning to Score and Rank, EMNLP 2020 [PDF] 摘要

214. Incorporating a Local Translation Mechanism into Non-autoregressive Translation, EMNLP 2020 [PDF] 摘要

215. Language Adapters for Zero Shot Neural Machine Translation, EMNLP 2020 [PDF] 摘要

216. Effectively Pretraining a Speech Translation Decoder with Machine Translation Data, EMNLP 2020 [PDF] 摘要

217. Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation, EMNLP 2020 [PDF] 摘要

218. Fully Quantized Transformer for Machine Translation, EMNLP 2020 [PDF] 摘要

219. Improving Grammatical Error Correction with Machine Translation Pairs, EMNLP 2020 [PDF] 摘要

220. Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation, EMNLP 2020 [PDF] 摘要

221. Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

222. Active Learning Approaches to Enhancing Neural Machine Translation: An Empirical Study, EMNLP 2020 [PDF] 摘要

223. Adversarial Subword Regularization for Robust Neural Machine Translation, EMNLP 2020 [PDF] 摘要

224. Automatically Identifying Gender Issues in Machine Translation using Perturbations, EMNLP 2020 [PDF] 摘要

225. Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation, EMNLP 2020 [PDF] 摘要

226. Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages, EMNLP 2020 [PDF] 摘要

227. Computer Assisted Translation with Neural Quality Estimation and Auotmatic Post-Editing, EMNLP 2020 [PDF] 摘要

228. On Romanization for Model Transfer Between Scripts in Neural Machine Translation, EMNLP 2020 [PDF] 摘要

229. Adaptive Feature Selection for End-to-End Speech Translation, EMNLP 2020 [PDF] 摘要

230. PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions, EMNLP 2020 [PDF] 摘要

231. Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem, EMNLP 2020 [PDF] 摘要

232. On Long-Tailed Phenomena in Neural Machine Translation, EMNLP 2020 [PDF] 摘要

233. A Multilingual View of Unsupervised Machine Translation, EMNLP 2020 [PDF] 摘要

234. KoBE: Knowledge-Based Machine Translation Evaluation, EMNLP 2020 [PDF] 摘要

235. Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation, EMNLP 2020 [PDF] 摘要

236. The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation, EMNLP 2020 [PDF] 摘要

237. It’s not a Non-Issue: Negation as a Source of Error in Machine Translation, EMNLP 2020 [PDF] 摘要

238. Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training, EMNLP 2020 [PDF] 摘要

239. Finding the Optimal Vocabulary Size for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

240. Reference Language based Unsupervised Neural Machine Translation, EMNLP 2020 [PDF] 摘要

241. Assessing Human-Parity in Machine Translation on the Segment Level, EMNLP 2020 [PDF] 摘要

242. Factorized Transformer for Multi-Domain Neural Machine Translation, EMNLP 2020 [PDF] 摘要

243. Vocabulary Adaptation for Domain Adaptation in Neural Machine Translation, EMNLP 2020 [PDF] 摘要

244. Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation, EMNLP 2020 [PDF] 摘要

245. Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation, EMNLP 2020 [PDF] 摘要

246. On the Weaknesses of Reinforcement Learning for Neural Machine Translation, ICLR 2020 [PDF] 摘要

247. Understanding Knowledge Distillation in Non-autoregressive Machine Translation, ICLR 2020 [PDF] 摘要

248. U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation, ICLR 2020 [PDF] 摘要

249. Incorporating BERT into Neural Machine Translation, ICLR 2020 [PDF] 摘要

250. Neural Machine Translation with Universal Visual Representation, ICLR 2020 [PDF] 摘要

251. A Latent Morphology Model for Open-Vocabulary Neural Machine Translation, ICLR 2020 [PDF] 摘要

252. Mirror-Generative Neural Machine Translation, ICLR 2020 [PDF] 摘要

253. Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation, IJCAI 2020 [PDF] 摘要

254. Modeling Voting for System Combination in Machine Translation, IJCAI 2020 [PDF] 摘要

255. Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation, IJCAI 2020 [PDF] 摘要

256. Neural Machine Translation with Error Correction, IJCAI 2020 [PDF] 摘要

257. Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating, IJCAI 2020 [PDF] 摘要

258. Towards Making the Most of Context in Neural Machine Translation, IJCAI 2020 [PDF] 摘要

259. Knowledge Graphs Enhanced Neural Machine Translation, IJCAI 2020 [PDF] 摘要

260. Bridging the Gap between Training and Inference for Neural Machine Translation (Extended Abstract), IJCAI 2020 [PDF] 摘要

261. Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?, TACL 2020 [PDF] 摘要

262. Better Document-Level Machine Translation with Bayes’ Rule, TACL 2020 [PDF] 摘要

263. Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems, TACL 2020 [PDF] 摘要

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【NLP】 2020 Summarization 相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 122k 3:24

目录

1. MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization, AAAI 2020 [PDF] 摘要

2. Narrative Planning Model Acquisition from Text Summaries and Descriptions, AAAI 2020 [PDF] 摘要

3. TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization, AAAI 2020 [PDF] 摘要

4. Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering, AAAI 2020 [PDF] 摘要

5. Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism, AAAI 2020 [PDF] 摘要

6. SemSUM: Semantic Dependency Guided Neural Abstractive Summarization, AAAI 2020 [PDF] 摘要

7. Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products, AAAI 2020 [PDF] 摘要

8. Keywords-Guided Abstractive Sentence Summarization, AAAI 2020 [PDF] 摘要

9. Joint Parsing and Generation for Abstractive Summarization, AAAI 2020 [PDF] 摘要

10. Controlling the Amount of Verbatim Copying in Abstractive Summarization, AAAI 2020 [PDF] 摘要

11. Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning, AAAI 2020 [PDF] 摘要

12. Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization, AAAI 2020 [PDF] 摘要

13. Weakly-Supervised Opinion Summarization by Leveraging External Information, AAAI 2020 [PDF] 摘要

14. Multimodal Summarization with Guidance of Multimodal Reference, AAAI 2020 [PDF] 摘要

15. Convolutional Hierarchical Attention Network for Query-Focused Video Summarization, AAAI 2020 [PDF] 摘要

16. GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response, AAAI 2020 [PDF] 摘要

17. Generalized Arc Consistency Algorithms for Table Constraints: A Summary of Algorithmic Ideas, AAAI 2020 [PDF] 摘要

18. A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal, ACL 2020 [PDF] 摘要

19. Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization, ACL 2020 [PDF] 摘要

20. Examining the State-of-the-Art in News Timeline Summarization, ACL 2020 [PDF] 摘要

21. SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization, ACL 2020 [PDF] 摘要

22. Self-Attention Guided Copy Mechanism for Abstractive Summarization, ACL 2020 [PDF] 摘要

23. Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization, ACL 2020 [PDF] 摘要

24. On Faithfulness and Factuality in Abstractive Summarization, ACL 2020 [PDF] 摘要

25. Screenplay Summarization Using Latent Narrative Structure, ACL 2020 [PDF] 摘要

26. Unsupervised Opinion Summarization with Noising and Denoising, ACL 2020 [PDF] 摘要

27. MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization, ACL 2020 [PDF] 摘要

28. From Arguments to Key Points: Towards Automatic Argument Summarization, ACL 2020 [PDF] 摘要

29. Facet-Aware Evaluation for Extractive Summarization, ACL 2020 [PDF] 摘要

30. A Transformer-based Approach for Source Code Summarization, ACL 2020 [PDF] 摘要

31. Asking and Answering Questions to Evaluate the Factual Consistency of Summaries, ACL 2020 [PDF] 摘要

32. Discourse-Aware Neural Extractive Text Summarization, ACL 2020 [PDF] 摘要

33. Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction, ACL 2020 [PDF] 摘要

34. Exploring Content Selection in Summarization of Novel Chapters, ACL 2020 [PDF] 摘要

35. FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization, ACL 2020 [PDF] 摘要

36. Fact-based Content Weighting for Evaluating Abstractive Summarisation, ACL 2020 [PDF] 摘要

37. Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward, ACL 2020 [PDF] 摘要

38. Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports, ACL 2020 [PDF] 摘要

39. The Summary Loop: Learning to Write Abstractive Summaries Without Examples, ACL 2020 [PDF] 摘要

40. Unsupervised Opinion Summarization as Copycat-Review Generation, ACL 2020 [PDF] 摘要

41. How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence, ACL 2020 [PDF] 摘要

42. OpinionDigest: A Simple Framework for Opinion Summarization, ACL 2020 [PDF] 摘要

43. Composing Elementary Discourse Units in Abstractive Summarization, ACL 2020 [PDF] 摘要

44. Extractive Summarization as Text Matching, ACL 2020 [PDF] 摘要

45. Heterogeneous Graph Neural Networks for Extractive Document Summarization, ACL 2020 [PDF] 摘要

46. Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization, ACL 2020 [PDF] 摘要

47. Leveraging Graph to Improve Abstractive Multi-Document Summarization, ACL 2020 [PDF] 摘要

48. Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization, ACL 2020 [PDF] 摘要

49. Understanding Points of Correspondence between Sentences for Abstractive Summarization, ACL 2020 [PDF] 摘要

50. A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards, ACL 2020 [PDF] 摘要

51. Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning, EMNLP 2020 [PDF] 摘要

52. Q-learning with Language Model for Edit-based Unsupervised Summarization, EMNLP 2020 [PDF] 摘要

53. MLSUM: The Multilingual Summarization Corpus, EMNLP 2020 [PDF] 摘要

54. Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos, EMNLP 2020 [PDF] 摘要

55. Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization, EMNLP 2020 [PDF] 摘要

56. Intrinsic Evaluation of Summarization Datasets, EMNLP 2020 [PDF] 摘要

57. Coarse-to-Fine Query Focused Multi-Document Summarization, EMNLP 2020 [PDF] 摘要

58. VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles, EMNLP 2020 [PDF] 摘要

59. Pre-training for Abstractive Document Summarization by Reinstating Source Text, EMNLP 2020 [PDF] 摘要

60. What Have We Achieved on Text Summarization?, EMNLP 2020 [PDF] 摘要

61. Few-Shot Learning for Opinion Summarization, EMNLP 2020 [PDF] 摘要

62. Multi-hop Inference for Question-driven Summarization, EMNLP 2020 [PDF] 摘要

63. On Extractive and Abstractive Neural Document Summarization with Transformer Language Models, EMNLP 2020 [PDF] 摘要

64. Multi-Fact Correction in Abstractive Text Summarization, EMNLP 2020 [PDF] 摘要

65. Compressive Summarization with Plausibility and Salience Modeling, EMNLP 2020 [PDF] 摘要

66. Evaluating the Factual Consistency of Abstractive Text Summarization, EMNLP 2020 [PDF] 摘要

67. Quantitative Argument Summarization and beyond: Cross-Domain Key Point Analysis, EMNLP 2020 [PDF] 摘要

68. TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization, EMNLP 2020 [PDF] 摘要

69. A Spectral Method for Unsupervised Multi-Document Summarization, EMNLP 2020 [PDF] 摘要

70. Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning, EMNLP 2020 [PDF] 摘要

71. Friendly Topic Assistant for Transformer Based Abstractive Summarization, EMNLP 2020 [PDF] 摘要

72. Better Highlighting: Creating Sub-Sentence Summary Highlights, EMNLP 2020 [PDF] 摘要

73. Stepwise Extractive Summarization and Planning with Structured Transformers, EMNLP 2020 [PDF] 摘要

74. Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network, EMNLP 2020 [PDF] 摘要

75. Re-evaluating Evaluation in Text Summarization, EMNLP 2020 [PDF] 摘要

76. Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles, EMNLP 2020 [PDF] 摘要

77. Modeling Content Importance for Summarization with Pre-trained Language Models, EMNLP 2020 [PDF] 摘要

78. Factual Error Correction for Abstractive Summarization Models, EMNLP 2020 [PDF] 摘要

79. Understanding Neural Abstractive Summarization Models via Uncertainty, EMNLP 2020 [PDF] 摘要

80. Learning to Fuse Sentences with Transformers for Summarization, EMNLP 2020 [PDF] 摘要

81. Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach, EMNLP 2020 [PDF] 摘要

82. Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention, EMNLP 2020 [PDF] 摘要

83. A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining, EMNLP 2020 [PDF] 摘要

84. ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization, EMNLP 2020 [PDF] 摘要

85. Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization, EMNLP 2020 [PDF] 摘要

86. Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers, EMNLP 2020 [PDF] 摘要

87. TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising, EMNLP 2020 [PDF] 摘要

88. KLearn: Background Knowledge Inference from Summarization Data, EMNLP 2020 [PDF] 摘要

89. Reducing the Frequency of Hallucinated Quantities in Abstractive Summaries, EMNLP 2020 [PDF] 摘要

90. Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization, EMNLP 2020 [PDF] 摘要

91. Corpora Evaluation and System Bias detection in Multi Document Summarization, EMNLP 2020 [PDF] 摘要

92. Towards Zero Shot Conditional Summarization with Adaptive Multi-task Fine-Tuning, EMNLP 2020 [PDF] 摘要

93. Document Reranking for Precision Medicine with Neural Matching and Faceted Summarization, EMNLP 2020 [PDF] 摘要

94. An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems, EMNLP 2020 [PDF] 摘要

95. Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures, EMNLP 2020 [PDF] 摘要

96. WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization, EMNLP 2020 [PDF] 摘要

97. SupMMD: A Sentence Importance Model for Extractive Summarisation using Maximum Mean Discrepancy, EMNLP 2020 [PDF] 摘要

98. TLDR: Extreme Summarization of Scientific Documents, EMNLP 2020 [PDF] 摘要

99. FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary, ICLR 2020 [PDF] 摘要

100. k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes, IJCAI 2020 [PDF] 摘要

101. Neural Entity Summarization with Joint Encoding and Weak Supervision, IJCAI 2020 [PDF] 摘要

102. Neural Abstractive Summarization with Structural Attention, IJCAI 2020 [PDF] 摘要

103. A Unified Model for Financial Event Classification, Detection and Summarization, IJCAI 2020 [PDF] 摘要

104. From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information, IJCAI 2020 [PDF] 摘要

105. Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract), IJCAI 2020 [PDF] 摘要

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【NLP】 2014-2020 Information Extraction 信息抽取相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 92k 2:33

目录

1. Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction, AAAI 2020 [PDF] 摘要

2. Integrating Deep Learning with Logic Fusion for Information Extraction, AAAI 2020 [PDF] 摘要

3. Span Model for Open Information Extraction on Accurate Corpus, AAAI 2020 [PDF] 摘要

4. A System for Medical Information Extraction and Verification from Unstructured Text, AAAI 2020 [PDF] 摘要

5. The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain, ACL 2020 [PDF] 摘要

6. IMoJIE: Iterative Memory-Based Joint Open Information Extraction, ACL 2020 [PDF] 摘要

7. Representation Learning for Information Extraction from Form-like Documents, ACL 2020 [PDF] 摘要

8. SciREX: A Challenge Dataset for Document-Level Information Extraction, ACL 2020 [PDF] 摘要

9. A Joint Neural Model for Information Extraction with Global Features, ACL 2020 [PDF] 摘要

10. Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web, ACL 2020 [PDF] 摘要

11. Information Retrieval and Extraction on COVID-19 Clinical Articles Using Graph Community Detection and Bio-BERT Embeddings, ACL 2020 [PDF] 摘要

12. NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube, ACL 2020 [PDF] 摘要

13. Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction, EMNLP 2020 [PDF] 摘要

14. Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction, EMNLP 2020 [PDF] 摘要

15. An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction, EMNLP 2020 [PDF] 摘要

16. Constrained Iterative Labeling for Open Information Extraction, EMNLP 2020 [PDF] 摘要

17. An Empirical Study of Pre-trained Transformers for Arabic Information Extraction, EMNLP 2020 [PDF] 摘要

18. Syntactic and Semantic-driven Learning for Open Information Extraction, EMNLP 2020 [PDF] 摘要

19. Multiˆ2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT, EMNLP 2020 [PDF] 摘要

20. A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract), IJCAI 2020 [PDF] 摘要

21. Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses, ACL 2019 [PDF] 摘要

22. Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge, ACL 2019 [PDF] 摘要

23. Improving Open Information Extraction via Iterative Rank-Aware Learning, ACL 2019 [PDF] 摘要

24. WiRe57 : A Fine-Grained Benchmark for Open Information Extraction, ACL 2019 [PDF] 摘要

25. Supervising Unsupervised Open Information Extraction Models, EMNLP 2019 [PDF] 摘要

26. Easy First Relation Extraction with Information Redundancy, EMNLP 2019 [PDF] 摘要

27. Coverage of Information Extraction from Sentences and Paragraphs, EMNLP 2019 [PDF] 摘要

28. Conceptualisation and Annotation of Drug Nonadherence Information for Knowledge Extraction from Patient-Generated Texts, EMNLP 2019 [PDF] 摘要

29. Multi-View Multi-Label Learning with View-Specific Information Extraction, IJCAI 2019 [PDF] 摘要

30. Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control, IJCAI 2019 [PDF] 摘要

31. GraphIE: A Graph-Based Framework for Information Extraction, NAACL 2019 [PDF] 摘要

32. OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference, NAACL 2019 [PDF] 摘要

33. Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction, NAACL 2019 [PDF] 摘要

34. Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction, NAACL 2019 [PDF] 摘要

35. Open Information Extraction from Question-Answer Pairs, NAACL 2019 [PDF] 摘要

36. A general framework for information extraction using dynamic span graphs, NAACL 2019 [PDF] 摘要

37. OpenCeres: When Open Information Extraction Meets the Semi-Structured Web, NAACL 2019 [PDF] 摘要

38. Graph Convolution for Multimodal Information Extraction from Visually Rich Documents, NAACL 2019 [PDF] 摘要

39. TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy, NAACL 2019 [PDF] 摘要

40. Scalable, Semi-Supervised Extraction of Structured Information from Scientific Literature, NAACL 2019 [PDF] 摘要

41. Browsing Health: Information Extraction to Support New Interfaces for Accessing Medical Evidence, NAACL 2019 [PDF] 摘要

42. Assertion-Based QA With Question-Aware Open Information Extraction, AAAI 2018 [PDF] 摘要

43. Context-Aware Neural Model for Temporal Information Extraction, ACL 2018 [PDF] 摘要

44. Adaptive Scaling for Sparse Detection in Information Extraction, ACL 2018 [PDF] 摘要

45. Neural Open Information Extraction, ACL 2018 [PDF] 摘要

46. Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information, ACL 2018 [PDF] 摘要

47. Last Words: What Can Be Accomplished with the State of the Art in Information Extraction? A Personal View, CL 2018 [PDF] 摘要

48. Open Information Extraction from Conjunctive Sentences, COLING 2018 [PDF] 摘要

49. Graphene: Semantically-Linked Propositions in Open Information Extraction, COLING 2018 [PDF] 摘要

50. Open Information Extraction on Scientific Text: An Evaluation, COLING 2018 [PDF] 摘要

51. A Survey on Open Information Extraction, COLING 2018 [PDF] 摘要

52. Graphene: a Context-Preserving Open Information Extraction System, COLING 2018 [PDF] 摘要

53. An Evaluation of Information Extraction Tools for Identifying Health Claims in News Headlines, COLING 2018 [PDF] 摘要

54. Temporal Information Extraction by Predicting Relative Time-lines, EMNLP 2018 [PDF] 摘要

55. Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation, EMNLP 2018 [PDF] 摘要

56. RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information, EMNLP 2018 [PDF] 摘要

57. Visual Supervision in Bootstrapped Information Extraction, EMNLP 2018 [PDF] 摘要

58. A Multilingual Information Extraction Pipeline for Investigative Journalism, EMNLP 2018 [PDF] 摘要

59. Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning, EMNLP 2018 [PDF] 摘要

60. Improving Information Extraction from Images with Learned Semantic Models, IJCAI 2018 [PDF] 摘要

61. Supervised Open Information Extraction, NAACL 2018 [PDF] 摘要

62. Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift, NAACL 2018 [PDF] 摘要

63. Syntactic Patterns Improve Information Extraction for Medical Search, NAACL 2018 [PDF] 摘要

64. Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression, AAAI 2017 [PDF] 摘要

65. Answering Complex Questions Using Open Information Extraction, ACL 2017 [PDF] 摘要

66. Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture, EMNLP 2017 [PDF] 摘要

67. MinIE: Minimizing Facts in Open Information Extraction, EMNLP 2017 [PDF] 摘要

68. Scientific Information Extraction with Semi-supervised Neural Tagging, EMNLP 2017 [PDF] 摘要

69. Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods, EMNLP 2017 [PDF] 摘要

70. Joint Inference over a Lightly Supervised Information Extraction Pipeline: Towards Event Coreference Resolution for Resource-Scarce Languages, AAAI 2016 [PDF] 摘要

71. Aggregating Inter-Sentence Information to Enhance Relation Extraction, AAAI 2016 [PDF] 摘要

72. On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts, AAAI 2016 [PDF] 摘要

73. new/s/leak – Information Extraction and Visualization for Investigative Data Journalists, ACL 2016 [PDF] 摘要

74. OCR++: A Robust Framework For Information Extraction from Scholarly Articles, COLING 2016 [PDF] 摘要

75. Multilingual Information Extraction with PolyglotIE, COLING 2016 [PDF] 摘要

76. Nested Propositions in Open Information Extraction, EMNLP 2016 [PDF] 摘要

77. Porting an Open Information Extraction System from English to German, EMNLP 2016 [PDF] 摘要

78. Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities, EMNLP 2016 [PDF] 摘要

79. Creating a Large Benchmark for Open Information Extraction, EMNLP 2016 [PDF] 摘要

80. Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning, EMNLP 2016 [PDF] 摘要

81. Automated Narrative Information Extraction Using Non-Linear Pipelines, IJCAI 2016 [PDF] 摘要

82. Open Information Extraction Systems and Downstream Applications, IJCAI 2016 [PDF] 摘要

83. Ontology-Based Information Extraction with a Cognitive Agent, AAAI 2015 [PDF] 摘要

84. Leveraging Linguistic Structure For Open Domain Information Extraction, ACL 2015 [PDF] 摘要

85. Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach, ACL 2015 [PDF] 摘要

86. Leveraging Linguistic Structure For Open Domain Information Extraction, ACL 2015 [PDF] 摘要

87. Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach, ACL 2015 [PDF] 摘要

88. A Lexicalized Tree Kernel for Open Information Extraction, ACL 2015 [PDF] 摘要

89. Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists, EMNLP 2015 [PDF] 摘要

90. Inferring Binary Relation Schemas for Open Information Extraction, EMNLP 2015 [PDF] 摘要

91. Abstractive Multi-document Summarization with Semantic Information Extraction, EMNLP 2015 [PDF] 摘要

92. Transparent Machine Learning for Information Extraction: State-of-the-Art and the Future, EMNLP 2015 [PDF] 摘要

93. Information Extraction of Texts in the Biomedical Domain, IJCAI 2015 [PDF] 摘要

94. Automatic Extraction of References to Future Events from News Articles Using Semantic and Morphological Information, IJCAI 2015 [PDF] 摘要

95. Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks, NAACL 2015 [PDF] 摘要

96. ICE: Rapid Information Extraction Customization for NLP Novices, NAACL 2015 [PDF] 摘要

97. Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis, TACL 2015 [PDF] 摘要

98. Experiments on Visual Information Extraction with the Faces of Wikipedia, AAAI 2014 [PDF] 摘要

99. Information Extraction over Structured Data: Question Answering with Freebase, ACL 2014 [PDF] 摘要

100. Open Information Extraction for Spanish Language based on Syntactic Constraints, ACL 2014 [PDF] 摘要

101. Cross-Lingual Information to the Rescue in Keyword Extraction, ACL 2014 [PDF] 摘要

102. Single Document Keyphrase Extraction Using Label Information, COLING 2014 [PDF] 摘要

103. Combining Visual and Textual Features for Information Extraction from Online Flyers, EMNLP 2014 [PDF] 摘要

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【NLP】 2014-2020 Entity Linking 实体链接相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 61k 1:42

目录

1. A Recurrent Model for Collective Entity Linking with Adaptive Features, AAAI 2020 [PDF] 摘要

2. Improving Entity Linking by Modeling Latent Entity Type Information, AAAI 2020 [PDF] 摘要

3. Fine-Grained Entity Typing for Domain Independent Entity Linking, AAAI 2020 [PDF] 摘要

4. LATTE: Latent Type Modeling for Biomedical Entity Linking, AAAI 2020 [PDF] 摘要

5. Improving Entity Linking through Semantic Reinforced Entity Embeddings, ACL 2020 [PDF] 摘要

6. From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains, ACL 2020 [PDF] 摘要

7. COMETA: A Corpus for Medical Entity Linking in the Social Media, EMNLP 2020 [PDF] 摘要

8. Scalable Zero-shot Entity Linking with Dense Entity Retrieval, EMNLP 2020 [PDF] 摘要

9. Entity Linking in 100 Languages, EMNLP 2020 [PDF] 摘要

10. Design Challenges in Low-resource Cross-lingual Entity Linking, EMNLP 2020 [PDF] 摘要

11. Efficient One-Pass End-to-End Entity Linking for Questions, EMNLP 2020 [PDF] 摘要

12. Zero-shot Entity Linking with Efficient Long Range Sequence Modeling, EMNLP 2020 [PDF] 摘要

13. Joint Intent Detection and Entity Linking on Spatial Domain Queries, EMNLP 2020 [PDF] 摘要

14. Improving Candidate Generation for Low-resource Cross-lingual Entity Linking, TACL 2020 [PDF] 摘要

15. Zero-Shot Neural Transfer for Cross-Lingual Entity Linking, AAAI 2019 [PDF] 摘要

16. Boosting Entity Linking Performance by Leveraging Unlabeled Documents, ACL 2019 [PDF] 摘要

17. Zero-Shot Entity Linking by Reading Entity Descriptions, ACL 2019 [PDF] 摘要

18. Distant Learning for Entity Linking with Automatic Noise Detection, ACL 2019 [PDF] 摘要

19. Joint Learning of Named Entity Recognition and Entity Linking, ACL 2019 [PDF] 摘要

20. Learning Dynamic Context Augmentation for Global Entity Linking, EMNLP 2019 [PDF] 摘要

21. Fine-Grained Evaluation for Entity Linking, EMNLP 2019 [PDF] 摘要

22. Improving Fine-grained Entity Typing with Entity Linking, EMNLP 2019 [PDF] 摘要

23. Cross-lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining, EMNLP 2019 [PDF] 摘要

24. Towards Zero-resource Cross-lingual Entity Linking, EMNLP 2019 [PDF] 摘要

25. Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning, IJCAI 2019 [PDF] 摘要

26. What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue, NAACL 2019 [PDF] 摘要

27. Medical Entity Linking using Triplet Network, NAACL 2019 [PDF] 摘要

28. Cross-Lingual Entity Linking for Web Tables, AAAI 2018 [PDF] 摘要

29. DeepType: Multilingual Entity Linking by Neural Type System Evolution, AAAI 2018 [PDF] 摘要

30. Neural Cross-Lingual Entity Linking, AAAI 2018 [PDF] 摘要

31. CoLink: An Unsupervised Framework for User Identity Linkage, AAAI 2018 [PDF] 摘要

32. LinkNBed: Multi-Graph Representation Learning with Entity Linkage, ACL 2018 [PDF] 摘要

33. Improving Entity Linking by Modeling Latent Relations between Mentions, ACL 2018 [PDF] 摘要

34. Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking, ACL 2018 [PDF] 摘要

35. A Sequence Learning Method for Domain-Specific Entity Linking, ACL 2018 [PDF] 摘要

36. They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking, COLING 2018 [PDF] 摘要

37. Systematic Study of Long Tail Phenomena in Entity Linking, COLING 2018 [PDF] 摘要

38. Neural Collective Entity Linking, COLING 2018 [PDF] 摘要

39. Effective Use of Context in Noisy Entity Linking, EMNLP 2018 [PDF] 摘要

40. Entity Linking within a Social Media Platform: A Case Study on Yelp, EMNLP 2018 [PDF] 摘要

41. Joint Multilingual Supervision for Cross-lingual Entity Linking, EMNLP 2018 [PDF] 摘要

42. SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification, EMNLP 2018 [PDF] 摘要

43. Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification, EMNLP 2018 [PDF] 摘要

44. ELDEN: Improved Entity Linking Using Densified Knowledge Graphs, NAACL 2018 [PDF] 摘要

45. List-only Entity Linking, ACL 2017 [PDF] 摘要

46. Entity Linking for Queries by Searching Wikipedia Sentences, EMNLP 2017 [PDF] 摘要

47. Entity Linking via Joint Encoding of Types, Descriptions, and Context, EMNLP 2017 [PDF] 摘要

48. One for All: Towards Language Independent Named Entity Linking, ACL 2016 [PDF] 摘要

49. Joint Learning of Local and Global Features for Entity Linking via Neural Networks, COLING 2016 [PDF] 摘要

50. TASTY: Interactive Entity Linking As-You-Type, COLING 2016 [PDF] 摘要

51. Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks, NAACL 2016 [PDF] 摘要

52. S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking, ACL 2015 [PDF] 摘要

53. S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking, ACL 2015 [PDF] 摘要

54. Sieve-Based Entity Linking for the Biomedical Domain, ACL 2015 [PDF] 摘要

55. Visual Error Analysis for Entity Linking, ACL 2015 [PDF] 摘要

56. Language and Domain Independent Entity Linking with Quantified Collective Validation, EMNLP 2015 [PDF] 摘要

57. C3EL: A Joint Model for Cross-Document Co-Reference Resolution and Entity Linking, EMNLP 2015 [PDF] 摘要

58. Entity Linking for Spoken Language, NAACL 2015 [PDF] 摘要

59. Unsupervised Entity Linking with Abstract Meaning Representation, NAACL 2015 [PDF] 摘要

60. ELCO3: Entity Linking with Corpus Coherence Combining Open Source Annotators, NAACL 2015 [PDF] 摘要

61. Design Challenges for Entity Linking, TACL 2015 [PDF] 摘要

62. Mutual Disambiguation for Entity Linking, ACL 2014 [PDF] 摘要

63. BEL: Bagging for Entity Linking, COLING 2014 [PDF] 摘要

64. Multilingual Word Sense Disambiguation and Entity Linking, COLING 2014 [PDF] 摘要

65. Entity Linking meets Word Sense Disambiguation: a Unified Approach, TACL 2014 [PDF] 摘要

66. Entity Linking on Microblogs with Spatial and Temporal Signals, TACL 2014 [PDF] 摘要

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【NLP】 2014-2020 Zero-Shot 相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 359k 9:58

目录

1. Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation, AAAI 2020 [PDF] 摘要

2. Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition, AAAI 2020 [PDF] 摘要

3. Query-Driven Multi-Instance Learning, AAAI 2020 [PDF] 摘要

4. Attribute Propagation Network for Graph Zero-Shot Learning, AAAI 2020 [PDF] 摘要

5. Meta-Learning for Generalized Zero-Shot Learning, AAAI 2020 [PDF] 摘要

6. Zero-Shot Text-to-SQL Learning with Auxiliary Task, AAAI 2020 [PDF] 摘要

7. Cross-Lingual Natural Language Generation via Pre-Training, AAAI 2020 [PDF] 摘要

8. Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation, AAAI 2020 [PDF] 摘要

9. Unsupervised Interlingual Semantic Representations from Sentence Embeddings for Zero-Shot Cross-Lingual Transfer, AAAI 2020 [PDF] 摘要

10. MA-DST: Multi-Attention-Based Scalable Dialog State Tracking, AAAI 2020 [PDF] 摘要

11. Towards Zero-Shot Learning for Automatic Phonemic Transcription, AAAI 2020 [PDF] 摘要

12. Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems, AAAI 2020 [PDF] 摘要

13. Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs, AAAI 2020 [PDF] 摘要

14. Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset, AAAI 2020 [PDF] 摘要

15. Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation, AAAI 2020 [PDF] 摘要

16. Low Resource Sequence Tagging with Weak Labels, AAAI 2020 [PDF] 摘要

17. A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings, AAAI 2020 [PDF] 摘要

18. Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior, AAAI 2020 [PDF] 摘要

19. Detecting Human-Object Interactions via Functional Generalization, AAAI 2020 [PDF] 摘要

20. Feature Deformation Meta-Networks in Image Captioning of Novel Objects, AAAI 2020 [PDF] 摘要

21. Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network, AAAI 2020 [PDF] 摘要

22. Zero Shot Learning with the Isoperimetric Loss, AAAI 2020 [PDF] 摘要

23. Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval, AAAI 2020 [PDF] 摘要

24. Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature, AAAI 2020 [PDF] 摘要

25. Context-Aware Zero-Shot Recognition, AAAI 2020 [PDF] 摘要

26. A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning, AAAI 2020 [PDF] 摘要

27. Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing, AAAI 2020 [PDF] 摘要

28. Improved Visual-Semantic Alignment for Zero-Shot Object Detection, AAAI 2020 [PDF] 摘要

29. Consistent Video Style Transfer via Compound Regularization, AAAI 2020 [PDF] 摘要

30. Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval, AAAI 2020 [PDF] 摘要

31. Zero-Shot Sketch-Based Image Retrieval via Graph Convolution Network, AAAI 2020 [PDF] 摘要

32. GTNet: Generative Transfer Network for Zero-Shot Object Detection, AAAI 2020 [PDF] 摘要

33. Motion-Attentive Transition for Zero-Shot Video Object Segmentation, AAAI 2020 [PDF] 摘要

34. Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking, ACL 2020 [PDF] 摘要

35. Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification, ACL 2020 [PDF] 摘要

36. Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation, ACL 2020 [PDF] 摘要

37. On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation, ACL 2020 [PDF] 摘要

38. Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation, ACL 2020 [PDF] 摘要

39. Zero-shot Text Classification via Reinforced Self-training, ACL 2020 [PDF] 摘要

40. Structure-Level Knowledge Distillation For Multilingual Sequence Labeling, ACL 2020 [PDF] 摘要

41. Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation, ACL 2020 [PDF] 摘要

42. On the Cross-lingual Transferability of Monolingual Representations, ACL 2020 [PDF] 摘要

43. Finding Universal Grammatical Relations in Multilingual BERT, ACL 2020 [PDF] 摘要

44. Multi-Cell Compositional LSTM for NER Domain Adaptation, ACL 2020 [PDF] 摘要

45. Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions, ACL 2020 [PDF] 摘要

46. CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning, ACL 2020 [PDF] 摘要

47. Translationese as a Language in “Multilingual” NMT, ACL 2020 [PDF] 摘要

48. ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages, ACL 2020 [PDF] 摘要

49. Should All Cross-Lingual Embeddings Speak English?, ACL 2020 [PDF] 摘要

50. Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition, ACL 2020 [PDF] 摘要

51. Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup, ACL 2020 [PDF] 摘要

52. Language Models as Fact Checkers?, ACL 2020 [PDF] 摘要

53. A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards, ACL 2020 [PDF] 摘要

54. From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap, ACL 2020 [PDF] 摘要

55. On-The-Fly Information Retrieval Augmentation for Language Models, ACL 2020 [PDF] 摘要

56. Unsupervised Commonsense Question Answering with Self-Talk, EMNLP 2020 [PDF] 摘要

57. Zero-Shot Cross-Lingual Transfer with Meta Learning, EMNLP 2020 [PDF] 摘要

58. Event Extraction by Answering (Almost) Natural Questions, EMNLP 2020 [PDF] 摘要

59. XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization, EMNLP 2020 [PDF] 摘要

60. Cross-lingual Spoken Language Understanding with Regularized Representation Alignment, EMNLP 2020 [PDF] 摘要

61. XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning, EMNLP 2020 [PDF] 摘要

62. UDapter: Language Adaptation for Truly Universal Dependency Parsing, EMNLP 2020 [PDF] 摘要

63. Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing, EMNLP 2020 [PDF] 摘要

64. Context-Aware Answer Extraction in Question Answering, EMNLP 2020 [PDF] 摘要

65. MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale, EMNLP 2020 [PDF] 摘要

66. Grounded Adaptation for Zero-shot Executable Semantic Parsing, EMNLP 2020 [PDF] 摘要

67. Zero-Shot Crosslingual Sentence Simplification, EMNLP 2020 [PDF] 摘要

68. Identifying Elements Essential for BERT’s Multilinguality, EMNLP 2020 [PDF] 摘要

69. KGLM: Pretrained Knowledge-Grounded Language Model for Data-to-Text Generation, EMNLP 2020 [PDF] 摘要

70. Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models, EMNLP 2020 [PDF] 摘要

71. Multi-task Learning for Multilingual Neural Machine Translation, EMNLP 2020 [PDF] 摘要

72. MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer, EMNLP 2020 [PDF] 摘要

73. Event Extraction as Machine Reading Comprehension, EMNLP 2020 [PDF] 摘要

74. Revisiting Modularized Multilingual NMT to Meet Industrial Demands, EMNLP 2020 [PDF] 摘要

75. Cold-start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks, EMNLP 2020 [PDF] 摘要

76. PRover: Proof Generation for Interpretable Reasoning over Rules, EMNLP 2020 [PDF] 摘要

77. Translation Artifacts in Cross-lingual Transfer Learning, EMNLP 2020 [PDF] 摘要

78. An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels, EMNLP 2020 [PDF] 摘要

79. LAReQA: Language-agnostic Answer Retrieval from a Multilingual Pool, EMNLP 2020 [PDF] 摘要

80. Generationary or: “How We Went beyond Word Sense Inventories and Learned to Gloss”, EMNLP 2020 [PDF] 摘要

81. From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers, EMNLP 2020 [PDF] 摘要

82. Self-Supervised Knowledge Triplet Learning for Zero-shot Question Answering, EMNLP 2020 [PDF] 摘要

83. Zero-Shot Stance Detection: A Dataset and Model Using Generalized Topic Representations, EMNLP 2020 [PDF] 摘要

84. Scalable Zero-shot Entity Linking with Dense Entity Retrieval, EMNLP 2020 [PDF] 摘要

85. CHARM: Inferring Personal Attributes from Conversations, EMNLP 2020 [PDF] 摘要

86. Design Challenges in Low-resource Cross-lingual Entity Linking, EMNLP 2020 [PDF] 摘要

87. AutoQA: From Databases to Q&A Semantic Parsers with Only Synthetic Training Data, EMNLP 2020 [PDF] 摘要

88. On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning, EMNLP 2020 [PDF] 摘要

89. The Multilingual Amazon Reviews Corpus, EMNLP 2020 [PDF] 摘要

90. Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs, EMNLP 2020 [PDF] 摘要

91. An Empirical Study of Pre-trained Transformers for Arabic Information Extraction, EMNLP 2020 [PDF] 摘要

92. Language Adapters for Zero Shot Neural Machine Translation, EMNLP 2020 [PDF] 摘要

93. SLEDGE: A Simple Yet Effective Zero-Shot Baseline for Coronavirus Scientific Knowledge Search, EMNLP 2020 [PDF] 摘要

94. ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization, EMNLP 2020 [PDF] 摘要

95. Document Ranking with a Pretrained Sequence-to-Sequence Model, EMNLP 2020 [PDF] 摘要

96. Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study, EMNLP 2020 [PDF] 摘要

97. Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection, EMNLP 2020 [PDF] 摘要

98. CodeBERT: A Pre-Trained Model for Programming and Natural Languages, EMNLP 2020 [PDF] 摘要

99. On the Language Neutrality of Pre-trained Multilingual Representations, EMNLP 2020 [PDF] 摘要

100. Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering, EMNLP 2020 [PDF] 摘要

101. Sparse and Decorrelated Representations for Stable Zero-shot NMT, EMNLP 2020 [PDF] 摘要

102. Zero-shot Entity Linking with Efficient Long Range Sequence Modeling, EMNLP 2020 [PDF] 摘要

103. Extending Multilingual BERT to Low-Resource Languages, EMNLP 2020 [PDF] 摘要

104. Towards Zero Shot Conditional Summarization with Adaptive Multi-task Fine-Tuning, EMNLP 2020 [PDF] 摘要

105. Internal and External Pressures on Language Emergence: Least Effort, Object Constancy and Frequency, EMNLP 2020 [PDF] 摘要

106. Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation, EMNLP 2020 [PDF] 摘要

107. Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model, ICLR 2020 [PDF] 摘要

108. Locality and Compositionality in Zero-Shot Learning, ICLR 2020 [PDF] 摘要

109. Multilingual Alignment of Contextual Word Representations, ICLR 2020 [PDF] 摘要

110. Empirical Bayes Transductive Meta-Learning with Synthetic Gradients, ICLR 2020 [PDF] 摘要

111. Program Guided Agent, ICLR 2020 [PDF] 摘要

112. Meta-Learning without Memorization, ICLR 2020 [PDF] 摘要

113. Dynamics-Aware Unsupervised Discovery of Skills, ICLR 2020 [PDF] 摘要

114. Convolutional Conditional Neural Processes, ICLR 2020 [PDF] 摘要

115. Lifelong Zero-Shot Learning, IJCAI 2020 [PDF] 摘要

116. Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space, IJCAI 2020 [PDF] 摘要

117. Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval, IJCAI 2020 [PDF] 摘要

118. CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP, IJCAI 2020 [PDF] 摘要

119. Generalized Zero-Shot Text Classification for ICD Coding, IJCAI 2020 [PDF] 摘要

120. Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference, AAAI 2019 [PDF] 摘要

121. From Zero-Shot Learning to Cold-Start Recommendation, AAAI 2019 [PDF] 摘要

122. Zero-Shot Adaptive Transfer for Conversational Language Understanding, AAAI 2019 [PDF] 摘要

123. Zero-Shot Neural Transfer for Cross-Lingual Entity Linking, AAAI 2019 [PDF] 摘要

124. Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs, AAAI 2019 [PDF] 摘要

125. QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships, AAAI 2019 [PDF] 摘要

126. Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering, AAAI 2019 [PDF] 摘要

127. I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs, AAAI 2019 [PDF] 摘要

128. Dual-View Ranking with Hardness Assessment for Zero-Shot Learning, AAAI 2019 [PDF] 摘要

129. Zero-Shot Object Detection with Textual Descriptions, AAAI 2019 [PDF] 摘要

130. Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning, AAAI 2019 [PDF] 摘要

131. Towards Fluid Machine Intelligence: Can We Make a Gifted AI?, AAAI 2019 [PDF] 摘要

132. Transductive Zero-Shot Learning via Visual Center Adaptation, AAAI 2019 [PDF] 摘要

133. Massively Multilingual Transfer for NER, ACL 2019 [PDF] 摘要

134. Cross-Domain Generalization of Neural Constituency Parsers, ACL 2019 [PDF] 摘要

135. Know What You Don’t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories, ACL 2019 [PDF] 摘要

136. Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems, ACL 2019 [PDF] 摘要

137. A Compact and Language-Sensitive Multilingual Translation Method, ACL 2019 [PDF] 摘要

138. Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations, ACL 2019 [PDF] 摘要

139. XQA: A Cross-lingual Open-domain Question Answering Dataset, ACL 2019 [PDF] 摘要

140. Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention, ACL 2019 [PDF] 摘要

141. Zero-Shot Entity Linking by Reading Entity Descriptions, ACL 2019 [PDF] 摘要

142. A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction, ACL 2019 [PDF] 摘要

143. Towards Language Agnostic Universal Representations, ACL 2019 [PDF] 摘要

144. Zero-Shot Semantic Parsing for Instructions, ACL 2019 [PDF] 摘要

145. How Multilingual is Multilingual BERT?, ACL 2019 [PDF] 摘要

146. Label-Agnostic Sequence Labeling by Copying Nearest Neighbors, ACL 2019 [PDF] 摘要

147. Robust Zero-Shot Cross-Domain Slot Filling with Example Values, ACL 2019 [PDF] 摘要

148. Zero-shot Word Sense Disambiguation using Sense Definition Embeddings, ACL 2019 [PDF] 摘要

149. Large-Scale Multi-Label Text Classification on EU Legislation, ACL 2019 [PDF] 摘要

150. From Bilingual to Multilingual Neural Machine Translation by Incremental Training, ACL 2019 [PDF] 摘要

151. Multilingual NMT with a Language-Independent Attention Bridge, ACL 2019 [PDF] 摘要

152. Specializing Distributional Vectors of All Words for Lexical Entailment, ACL 2019 [PDF] 摘要

153. Best Practices for Learning Domain-Specific Cross-Lingual Embeddings, ACL 2019 [PDF] 摘要

154. Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model, ACL 2019 [PDF] 摘要

155. Improving Zero-shot Translation with Language-Independent Constraints, ACL 2019 [PDF] 摘要

156. Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models, ACL 2019 [PDF] 摘要

157. Latent-Variable Generative Models for Data-Efficient Text Classification, EMNLP 2019 [PDF] 摘要

158. Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT, EMNLP 2019 [PDF] 摘要

159. Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages, EMNLP 2019 [PDF] 摘要

160. Multilingual Neural Machine Translation with Language Clustering, EMNLP 2019 [PDF] 摘要

161. Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables, EMNLP 2019 [PDF] 摘要

162. DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs, EMNLP 2019 [PDF] 摘要

163. 75 Languages, 1 Model: Parsing Universal Dependencies Universally, EMNLP 2019 [PDF] 摘要

164. Towards Zero-shot Language Modeling, EMNLP 2019 [PDF] 摘要

165. Out-of-Domain Detection for Low-Resource Text Classification Tasks, EMNLP 2019 [PDF] 摘要

166. Global Reasoning over Database Structures for Text-to-SQL Parsing, EMNLP 2019 [PDF] 摘要

167. Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach, EMNLP 2019 [PDF] 摘要

168. Reconstructing Capsule Networks for Zero-shot Intent Classification, EMNLP 2019 [PDF] 摘要

169. Open Domain Web Keyphrase Extraction Beyond Language Modeling, EMNLP 2019 [PDF] 摘要

170. MultiFiT: Efficient Multi-lingual Language Model Fine-tuning, EMNLP 2019 [PDF] 摘要

171. Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing, EMNLP 2019 [PDF] 摘要

172. Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model, EMNLP 2019 [PDF] 摘要

173. Zero-Resource Neural Machine Translation with Monolingual Pivot Data, EMNLP 2019 [PDF] 摘要

174. Domain Adaptation with BERT-based Domain Classification and Data Selection, EMNLP 2019 [PDF] 摘要

175. Few-Shot and Zero-Shot Learning for Historical Text Normalization, EMNLP 2019 [PDF] 摘要

176. From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training, EMNLP 2019 [PDF] 摘要

177. X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension, EMNLP 2019 [PDF] 摘要

178. Zero-Shot Cross-lingual Name Retrieval for Low-Resource Languages, EMNLP 2019 [PDF] 摘要

179. Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations, EMNLP 2019 [PDF] 摘要

180. Dimensionality Reduction for Representing the Knowledge of Probabilistic Models, ICLR 2019 [PDF] 摘要

181. Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems, ICML 2019 [PDF] 摘要

182. Zero-Shot Knowledge Distillation in Deep Networks, ICML 2019 [PDF] 摘要

183. AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss, ICML 2019 [PDF] 摘要

184. Context-Aware Zero-Shot Learning for Object Recognition, ICML 2019 [PDF] 摘要

185. Co-Representation Network for Generalized Zero-Shot Learning, ICML 2019 [PDF] 摘要

186. Learning Classifiers for Target Domain with Limited or No Labels, ICML 2019 [PDF] 摘要

187. Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework, IJCAI 2019 [PDF] 摘要

188. Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks, IJCAI 2019 [PDF] 摘要

189. Landmark Selection for Zero-shot Learning, IJCAI 2019 [PDF] 摘要

190. Graph and Autoencoder Based Feature Extraction for Zero-shot Learning, IJCAI 2019 [PDF] 摘要

191. Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation, IJCAI 2019 [PDF] 摘要

192. Zero-shot Metric Learning, IJCAI 2019 [PDF] 摘要

193. Phylogenic Multi-Lingual Dependency Parsing, NAACL 2019 [PDF] 摘要

194. Description-Based Zero-shot Fine-Grained Entity Typing, NAACL 2019 [PDF] 摘要

195. Generating Token-Level Explanations for Natural Language Inference, NAACL 2019 [PDF] 摘要

196. Integrating Semantic Knowledge to Tackle Zero-shot Text Classification, NAACL 2019 [PDF] 摘要

197. Consistency by Agreement in Zero-Shot Neural Machine Translation, NAACL 2019 [PDF] 摘要

198. Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing, NAACL 2019 [PDF] 摘要

199. Measuring Immediate Adaptation Performance for Neural Machine Translation, NAACL 2019 [PDF] 摘要

200. Zero-Shot Cross-Lingual Opinion Target Extraction, NAACL 2019 [PDF] 摘要

201. Cross-lingual Annotation Projection Is Effective for Neural Part-of-Speech Tagging, NAACL 2019 [PDF] 摘要

202. Extreme Multi-Label Legal Text Classification: A Case Study in EU Legislation, NAACL 2019 [PDF] 摘要

203. Dataset Mention Extraction and Classification, NAACL 2019 [PDF] 摘要

204. Zero-shot Learning via Simultaneous Generating and Learning, NeurIPS 2019 [PDF] 摘要

205. Zero-Shot Semantic Segmentation, NeurIPS 2019 [PDF] 摘要

206. Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning, NeurIPS 2019 [PDF] 摘要

207. Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, NeurIPS 2019 [PDF] 摘要

208. A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning, NeurIPS 2019 [PDF] 摘要

209. Zero-shot Knowledge Transfer via Adversarial Belief Matching, NeurIPS 2019 [PDF] 摘要

210. Transductive Zero-Shot Learning with Visual Structure Constraint, NeurIPS 2019 [PDF] 摘要

211. Semantic-Guided Multi-Attention Localization for Zero-Shot Learning, NeurIPS 2019 [PDF] 摘要

212. Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond, TACL 2019 [PDF] 摘要

213. Adversarial Zero-shot Learning With Semantic Augmentation, AAAI 2018 [PDF] 摘要

214. Joint Dictionaries for Zero-Shot Learning, AAAI 2018 [PDF] 摘要

215. FiLM: Visual Reasoning with a General Conditioning Layer, AAAI 2018 [PDF] 摘要

216. Zero-Shot Learning via Class-Conditioned Deep Generative Models, AAAI 2018 [PDF] 摘要

217. Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations, AAAI 2018 [PDF] 摘要

218. Neural Cross-Lingual Entity Linking, AAAI 2018 [PDF] 摘要

219. Zero-Shot Learning With Attribute Selection, AAAI 2018 [PDF] 摘要

220. Deep Semantic Structural Constraints for Zero-Shot Learning, AAAI 2018 [PDF] 摘要

221. Visual Relationship Detection With Deep Structural Ranking, AAAI 2018 [PDF] 摘要

222. Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes, AAAI 2018 [PDF] 摘要

223. HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection, AAAI 2018 [PDF] 摘要

224. Zero-shot Learning of Classifiers from Natural Language Quantification, ACL 2018 [PDF] 摘要

225. Zero-Shot Transfer Learning for Event Extraction, ACL 2018 [PDF] 摘要

226. A Deep Relevance Model for Zero-Shot Document Filtering, ACL 2018 [PDF] 摘要

227. Learning Simplifications for Specific Target Audiences, ACL 2018 [PDF] 摘要

228. A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation, COLING 2018 [PDF] 摘要

229. Multilingual Neural Machine Translation with Task-Specific Attention, COLING 2018 [PDF] 摘要

230. Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization, EMNLP 2018 [PDF] 摘要

231. Contextual Parameter Generation for Universal Neural Machine Translation, EMNLP 2018 [PDF] 摘要

232. Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing, EMNLP 2018 [PDF] 摘要

233. Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP 2018 [PDF] 摘要

234. Joint Multilingual Supervision for Cross-lingual Entity Linking, EMNLP 2018 [PDF] 摘要

235. Zero-shot User Intent Detection via Capsule Neural Networks, EMNLP 2018 [PDF] 摘要

236. Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces, EMNLP 2018 [PDF] 摘要

237. Zero-shot Relation Classification as Textual Entailment, EMNLP 2018 [PDF] 摘要

238. A neural interlingua for multilingual machine translation, EMNLP 2018 [PDF] 摘要

239. Zero-Shot Visual Imitation, ICLR 2018 [PDF] 摘要

240. Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models, ICLR 2018 [PDF] 摘要

241. NerveNet: Learning Structured Policy with Graph Neural Networks, ICLR 2018 [PDF] 摘要

242. Interactive Grounded Language Acquisition and Generalization in a 2D World, ICLR 2018 [PDF] 摘要

243. Compositional Obverter Communication Learning from Raw Visual Input, ICLR 2018 [PDF] 摘要

244. Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks, ICML 2018 [PDF] 摘要

245. MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning, ICML 2018 [PDF] 摘要

246. Dual Adversarial Networks for Zero-shot Cross-media Retrieval, IJCAI 2018 [PDF] 摘要

247. Visual Data Synthesis via GAN for Zero-Shot Video Classification, IJCAI 2018 [PDF] 摘要

248. Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder, IJCAI 2018 [PDF] 摘要

249. Adaptive Graph Guided Embedding for Multi-label Annotation, IJCAI 2018 [PDF] 摘要

250. Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment, IJCAI 2018 [PDF] 摘要

251. Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes, IJCAI 2018 [PDF] 摘要

252. Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption, IJCAI 2018 [PDF] 摘要

253. Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types, NAACL 2018 [PDF] 摘要

254. Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens, NAACL 2018 [PDF] 摘要

255. Universal Neural Machine Translation for Extremely Low Resource Languages, NAACL 2018 [PDF] 摘要

256. Domain-Invariant Projection Learning for Zero-Shot Recognition, NeurIPS 2018 [PDF] 摘要

257. Generalized Zero-Shot Learning with Deep Calibration Network, NeurIPS 2018 [PDF] 摘要

258. Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning, NeurIPS 2018 [PDF] 摘要

259. Supervising Unsupervised Learning, NeurIPS 2018 [PDF] 摘要

260. Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning, NeurIPS 2018 [PDF] 摘要

261. Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies, NeurIPS 2018 [PDF] 摘要

262. Hardware Conditioned Policies for Multi-Robot Transfer Learning, NeurIPS 2018 [PDF] 摘要

263. Transfer of Deep Reactive Policies for MDP Planning, NeurIPS 2018 [PDF] 摘要

264. Learning Attributes from the Crowdsourced Relative Labels, AAAI 2017 [PDF] 摘要

265. DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos, AAAI 2017 [PDF] 摘要

266. Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels, AAAI 2017 [PDF] 摘要

267. Problems in Large-Scale Image Classification, AAAI 2017 [PDF] 摘要

268. Transfer of Knowledge through Collective Learning, AAAI 2017 [PDF] 摘要

269. Obtaining referential word meanings from visual and distributional information: Experiments on object naming, ACL 2017 [PDF] 摘要

270. One-Shot Neural Cross-Lingual Transfer for Paradigm Completion, ACL 2017 [PDF] 摘要

271. Zero-Shot Activity Recognition with Verb Attribute Induction, EMNLP 2017 [PDF] 摘要

272. Knowledge Distillation for Bilingual Dictionary Induction, EMNLP 2017 [PDF] 摘要

273. DARLA: Improving Zero-Shot Transfer in Reinforcement Learning, ICML 2017 [PDF] 摘要

274. Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics, ICML 2017 [PDF] 摘要

275. Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning, ICML 2017 [PDF] 摘要

276. SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing, IJCAI 2017 [PDF] 摘要

277. Synthesizing Samples for Zero-shot Learning, IJCAI 2017 [PDF] 摘要

278. Ordinal Zero-Shot Learning, IJCAI 2017 [PDF] 摘要

279. Boosted Zero-Shot Learning with Semantic Correlation Regularization, IJCAI 2017 [PDF] 摘要

280. Prototypical Networks for Few-shot Learning, NeurIPS 2017 [PDF] 摘要

281. Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation, TACL 2017 [PDF] 摘要

282. All-in Text: Learning Document, Label, and Word Representations Jointly, AAAI 2016 [PDF] 摘要

283. Relational Knowledge Transfer for Zero-Shot Learning, AAAI 2016 [PDF] 摘要

284. Representation Learning of Knowledge Graphs with Entity Descriptions, AAAI 2016 [PDF] 摘要

285. Dynamic Concept Composition for Zero-Example Event Detection, AAAI 2016 [PDF] 摘要

286. Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos, AAAI 2016 [PDF] 摘要

287. Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition, AAAI 2016 [PDF] 摘要

288. Transductive Zero-Shot Recognition via Shared Model Space Learning, AAAI 2016 [PDF] 摘要

289. Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach, AAAI 2016 [PDF] 摘要

290. Label Embedding for Zero-shot Fine-grained Named Entity Typing, COLING 2016 [PDF] 摘要

291. Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification, COLING 2016 [PDF] 摘要

292. Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition, EMNLP 2016 [PDF] 摘要

293. Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning, IJCAI 2016 [PDF] 摘要

294. Unsupervised Learning on Neural Network Outputs: With Application in Zero-Shot Learning, IJCAI 2016 [PDF] 摘要

295. Local Similarity-Aware Deep Feature Embedding, NeurIPS 2016 [PDF] 摘要

296. Learning Deep Parsimonious Representations, NeurIPS 2016 [PDF] 摘要

297. Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition, AAAI 2015 [PDF] 摘要

298. Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning, ACL 2015 [PDF] 摘要

299. Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning, ACL 2015 [PDF] 摘要

300. A Model of Zero-Shot Learning of Spoken Language Understanding, EMNLP 2015 [PDF] 摘要

301. Image-Mediated Learning for Zero-Shot Cross-Lingual Document Retrieval, EMNLP 2015 [PDF] 摘要

302. A Unified Perspective on Multi-Domain and Multi-Task Learning, ICLR 2015 [PDF] 摘要

303. An embarrassingly simple approach to zero-shot learning, ICML 2015 [PDF] 摘要

304. Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection, IJCAI 2015 [PDF] 摘要

305. From Visual Attributes to Adjectives through Decompositional Distributional Semantics, TACL 2015 [PDF] 摘要

306. Zero-shot Entity Extraction from Web Pages, ACL 2014 [PDF] 摘要

307. Zero-Shot Learning by Convex Combination of Semantic Embeddings, ICLR 2014 [PDF] 摘要

308. Zero-Shot Learning and Clustering for Semantic Utterance Classification, ICLR 2014 [PDF] 摘要

309. Zero-shot recognition with unreliable attributes, NeurIPS 2014 [PDF] 摘要

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