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home / docs / papers / cited-by / Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 49

Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 49

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

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  1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer — 2019 · arXiv:1910.10683
  2. Expressing Visual Relationships via Language — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  3. 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)
  4. Extractive NarrativeQA with Heuristic Pre-Training — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  5. 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)
  6. Faithful Multimodal Explanation for Visual Question Answering — 2019 · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
  7. 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
  8. 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)
  9. Findings of the Third Workshop on Neural Generation and Translation — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  10. 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)
  11. 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)
  12. Flexibly-Structured Model for Task-Oriented Dialogues — 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
  13. Formality Style Transfer with Hybrid Textual Annotations — 2019 · arXiv:1903.06353
  14. 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)
  15. 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)
  16. GEval: Tool for Debugging NLP Datasets and Models — 2019 · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
  17. GTCOM Neural Machine Translation Systems for WMT19 — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  18. Generalization in Generation: A closer look at Exposure Bias — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  19. Generalizing Back-Translation in Neural Machine Translation — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)
  20. 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)
  21. Generating Diverse Story Continuations with Controllable Semantics — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  22. 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)
  23. 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
  24. 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)
  25. Generating Responses with a Specific Emotion in Dialog — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  26. Generating Sentences from Disentangled Syntactic and Semantic Spaces — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  27. Generic and Specialized Word Embeddings for Multi-Domain Machine Translation — 2019 · Proceedings of the 16th International Conference on Spoken Language Translation
  28. 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)
  29. Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems — 2019 · Transactions of the Association for Computational Linguistics
  30. Guided Neural Language Generation for Automated Storytelling — 2019 · Proceedings of the Second Workshop on Storytelling
  31. HEAD-QA: A Healthcare Dataset for Complex Reasoning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  32. Handling Divergent Reference Texts when Evaluating Table-to-Text Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  33. 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)
  34. 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
  35. 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)
  36. 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)
  37. Homograph Disambiguation through Selective Diacritic Restoration — 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop
  38. 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)
  39. 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
  40. 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)
  41. 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
  42. Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  43. 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)
  44. 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)
  45. 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)
  46. 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
  47. 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)
  48. 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)
  49. 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)
  50. 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
  51. Improving Neural Conversational Models with Entropy-Based Data Filtering — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  52. 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)
  53. 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)
  54. 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)
  55. 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)
  56. 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)
  57. Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  58. Incorporating Source-Side Phrase Structures into Neural Machine Translation — 2019 · Computational Linguistics
  59. Incremental Adaptation of NMT for Professional Post-editors: A User Study — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  60. Incremental Transformer with Deliberation Decoder for Document Grounded Conversations — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  61. Inducing Constituency Trees through Neural Machine Translation — 2019 · arXiv:1909.10056
  62. 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)
  63. Insertion-based Decoding with Automatically Inferred Generation Order — 2019 · Transactions of the Association for Computational Linguistics
  64. Integration of Dubbing Constraints into Machine Translation — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)
  65. Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
  66. Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  67. 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)
  68. Is artificial data useful for biomedical Natural Language Processing algorithms? — 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task
  69. 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)
  70. Jointly Measuring Diversity and Quality in Text Generation Models — 2019 · Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
  71. 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)
  72. 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)
  73. 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)
  74. Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange — 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)
  75. Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  76. Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  77. Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  78. Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs — 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)
  79. LIUM''s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs — 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
  80. Large-Scale Hierarchical Alignment for Data-driven Text Rewriting — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  81. Large-Scale Transfer Learning for Natural Language Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  82. Large-scale Machine Translation Evaluation of the iADAATPA Project — 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  83. Latent Variable Model for Multi-modal Translation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  84. Lattice-Based Transformer Encoder for Neural Machine Translation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  85. Learning Programmatic Idioms for Scalable Semantic Parsing — 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)
  86. Learning to Abstract for Memory-augmented Conversational Response Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  87. Learning to Ask Unanswerable Questions for Machine Reading Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  88. Learning to Control the Fine-grained Sentiment for Story Ending Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  89. Learning to Decipher Hate Symbols — 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)
  90. Learning to Describe Unknown Phrases with Local and Global Contexts — 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)
  91. Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  92. Learning to Select, Track, and Generate for Data-to-Text — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  93. Let Me Know What to Ask: Interrogative-Word-Aware Question Generation — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  94. Let''s Ask Again: Refine Network for Automatic Question 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)
  95. Leveraging Local and Global Patterns for Self-Attention Networks — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  96. Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models — our card · 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  97. Leveraging SNOMED CT terms and relations for machine translation of clinical texts from Basque to Spanish — 2019 · Proceedings of the Second Workshop on Multilingualism at the Intersection of Knowledge Bases and Machine Translation
  98. Leveraging backtranslation to improve machine translation for Gaelic languages — 2019 · Proceedings of the Celtic Language Technology Workshop
  99. Linguistically-Informed Specificity and Semantic Plausibility for Dialogue 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)
  100. Long and Diverse Text Generation with Planning-based Hierarchical Variational Model — 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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