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Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 72

10821 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. Evaluating Text GANs as Language Models — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  2. Evaluating machine translation in a low-resource language combination: Spanish-Galician. — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  3. Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation — 2019 · arXiv:1909.00437 · AAAI 2020
  4. Explain Yourself! Leveraging Language Models for Commonsense Reasoning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  5. Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  6. Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  7. Exploring Diverse Expressions for Paraphrase Generation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  8. Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification — 2019 · Proceedings of the 16th International Conference on Spoken Language Translation
  9. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer — 2019 · arXiv:1910.10683
  10. Expressing Visual Relationships via Language — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  11. Extract, Transform and Filling: A Pipeline Model for Question Paraphrasing based on Template — 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
  12. Extraction d''opinions pour l''analyse multicritère à partir de corpus oraux transcrits : État de l''art (Opinion extraction for multi-criteria analysis of transcribed oral corpora) — 2019 · Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume III : RECITAL
  13. Extractive NarrativeQA with Heuristic Pre-Training — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  14. Factorising AMR generation through syntax — our card · 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  15. Faithful Multimodal Explanation for Visual Question Answering — 2019 · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
  16. Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  17. Filtering of Noisy Parallel Corpora Based on Hypothesis Generation — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  18. Findings of the 2019 Conference on Machine Translation (WMT19) — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  19. Findings of the Third Workshop on Neural Generation and Translation — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  20. Findings of the WMT 2019 Shared Task on Automatic Post-Editing — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
  21. Fixed That for You: Generating Contrastive Claims with Semantic Edits — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  22. Flexibly-Structured Model for Task-Oriented Dialogues — 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
  23. Formality Style Transfer with Hybrid Textual Annotations — 2019 · arXiv:1903.06353
  24. From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training — 2019 · Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
  25. Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  26. GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  27. GEval: Tool for Debugging NLP Datasets and Models — 2019 · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
  28. GTCOM Neural Machine Translation Systems for WMT19 — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  29. Generalization in Generation: A closer look at Exposure Bias — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  30. Generalizing Back-Translation in Neural Machine Translation — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)
  31. Generating Classical Chinese Poems from Vernacular Chinese — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  32. Generating Diverse Story Continuations with Controllable Semantics — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  33. Generating Highly Relevant Questions — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  34. Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  35. Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  36. Generating Responses with a Specific Emotion in Dialog — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  37. Generating Sentences from Disentangled Syntactic and Semantic Spaces — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  38. Generating Sentential Arguments from Diverse Perspectives on Controversial Topic — 2019 · Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda
  39. Generating Text through Adversarial Training Using Skip-Thought Vectors — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
  40. Generative Adversarial Networks for Text Using Word2vec Intermediaries — 2019 · Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
  41. Generic and Specialized Word Embeddings for Multi-Domain Machine Translation — 2019 · Proceedings of the 16th International Conference on Spoken Language Translation
  42. Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  43. Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers)
  44. Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems — 2019 · Transactions of the Association for Computational Linguistics
  45. Guided Neural Language Generation for Automated Storytelling — 2019 · Proceedings of the Second Workshop on Storytelling
  46. Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  47. HEAD-QA: A Healthcare Dataset for Complex Reasoning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  48. Handling Divergent Reference Texts when Evaluating Table-to-Text Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  49. Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  50. Hello, It's GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  51. Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  52. Hint-Based Training for Non-Autoregressive Machine Translation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  53. Homograph Disambiguation through Selective Diacritic Restoration — 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop
  54. How Much Competence Is There in Performance? Assessing the Distributional Hypothesis in Word Bigrams — 2019 · Proceedings of the Sixth Italian Conference on Computational Linguistics (CLiC-it 2019)
  55. How to Build User Simulators to Train RL-based Dialog Systems — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  56. How to Compare Summarizers without Target Length? Pitfalls, Solutions and Re-Examination of the Neural Summarization Literature — 2019 · Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
  57. Human Evaluation of Neural Machine Translation: The Case of Deep Learning — 2019 · Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)
  58. IITP-MT System for Gujarati-English News Translation Task at WMT 2019 — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  59. INMT: Interactive Neural Machine Translation Prediction — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
  60. Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  61. Idiap NMT System for WAT 2019 Multimodal Translation Task — 2019 · Proceedings of the 6th Workshop on Asian Translation
  62. Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  63. Implicit Deep Latent Variable Models for Text Generation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  64. Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  65. Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  66. Improving Back-Translation with Uncertainty-based Confidence Estimation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  67. Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  68. Improving Domain Adaptation Translation with Domain Invariant and Specific Information — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  69. Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  70. Improving Neural Conversational Models with Entropy-Based Data Filtering — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  71. Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-Translation — 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
  72. Improving Neural Machine Translation Using Noisy Parallel Data through Distillation — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  73. Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  74. Improving Neural Machine Translation with Neural Syntactic Distance — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  75. Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  76. Improving Question Generation With to the Point Context — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  77. Improving Robustness in Real-World Neural Machine Translation Engines — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  78. Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  79. Incorporating External Knowledge into Machine Reading for Generative Question Answering — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  80. Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  81. Incorporating Source-Side Phrase Structures into Neural Machine Translation — 2019 · Computational Linguistics
  82. Incremental Adaptation of NMT for Professional Post-editors: A User Study — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  83. Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings — 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop
  84. Incremental Transformer with Deliberation Decoder for Document Grounded Conversations — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  85. Inducing Constituency Trees through Neural Machine Translation — 2019 · arXiv:1909.10056
  86. Information Aggregation for Multi-Head Attention with Routing-by-Agreement — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  87. Insertion-based Decoding with Automatically Inferred Generation Order — 2019 · Transactions of the Association for Computational Linguistics
  88. Integration of Dubbing Constraints into Machine Translation — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)
  89. Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  90. Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  91. Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  92. Is artificial data useful for biomedical Natural Language Processing algorithms? — 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task
  93. JU-Saarland Submission to the WMT2019 English–Gujarati Translation Shared Task — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  94. JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  95. Johns Hopkins University Submission for WMT News Translation Task — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  96. Jointly Learning to Align and Translate with Transformer Models — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  97. Jointly Measuring Diversity and Quality in Text Generation Models — 2019 · Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
  98. Jointly Optimizing Diversity and Relevance in Neural Response Generation — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  99. JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  100. Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

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