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Who cites «Effective Self-Training for Parsing»

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

Pages: 1 · 2 · 3

  1. Creating a High Quality Abstract Meaning Representation Dataset Automatically — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  2. Discovering and Causally Validating Emotion-Sensitive Neurons in Large Audio-Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  4. Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  6. Rethinking Semi-supervised Learning with Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  7. SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  8. Toolformer: Language Models Can Teach Themselves to Use Tools — 2023 · arXiv:2302.04761
  9. A Comparison of Strategies for Source-Free Domain Adaptation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  11. Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks — 2022 · Transactions of the Association for Computational Linguistics
  12. Automatic Rule Induction for Efficient Semi-Supervised Learning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  13. Co-training an Unsupervised Constituency Parser with Weak Supervision — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  14. Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary Tasks — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  15. Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent — 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  16. Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation — 2022 · Transactions of the Association for Computational Linguistics
  17. STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  18. SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  19. Thematic Fit Bits: Annotation Quality and Quantity Interplay for Event Participant Representation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  20. Break-It-Fix-It: Unsupervised Learning for Program Repair — 2021 · arXiv:2106.06600
  21. Capturing document context inside sentence-level neural machine translation models with self-training — 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse
  22. Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond — 2021 · arXiv:2109.00725
  23. Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  24. Improving Neural RST Parsing Model with Silver Agreement Subtrees — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  25. It''s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  26. Multi-View Cross-Lingual Structured Prediction with Minimum Supervision — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  27. Revisiting Self-training for Few-shot Learning of Language Model — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  28. Revisiting Tri-training of Dependency Parsers — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  29. STraTA: Self-Training with Task Augmentation for Better Few-shot Learning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  30. Self-Training for Compositional Neural NLG in Task-Oriented Dialogue — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
  31. Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  32. Self-training Improves Pre-training for Natural Language Understanding — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  33. A Semi-supervised Approach for De-identification of Swedish Clinical Text — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  34. Affective Event Classification with Discourse-enhanced Self-training — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  35. An Imitation Game for Learning Semantic Parsers from User Interaction — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  36. AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  37. Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  38. Cross-Lingual Dependency Parsing via Self-Training — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  39. Data Augmentation via Subtree Swapping for Dependency Parsing of Low-Resource Languages — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  40. Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  41. Improving Disfluency Detection by Self-Training a Self-Attentive Model — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  42. Leveraging User Paraphrasing Behavior In Dialog Systems To Automatically Collect Annotations For Long-Tail Utterances — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
  43. On the Role of Supervision in Unsupervised Constituency Parsing — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  44. Self-Training for Unsupervised Parsing with PRPN — 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
  45. Semi-supervised Domain Adaptation for Dependency Parsing via Improved Contextualized Word Representations — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  46. SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  47. To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  48. Unsupervised Discourse Constituency Parsing Using Viterbi EM — 2020 · Transactions of the Association for Computational Linguistics
  49. Zero-shot Text Classification via Reinforced Self-training — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  50. A Robust Self-Learning Framework for Cross-Lingual Text Classification — 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)
  51. Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER — 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. Cross-lingual Annotation Projection Is Effective for Neural Part-of-Speech Tagging — 2019 · Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects
  53. Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training — 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)
  54. Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task — 2019 · Proceedings of the 5th Workshop on BioNLP Open Shared Tasks
  55. Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning — 2019 · arXiv:1909.05438
  56. Paraphrase Generation for Semi-Supervised Learning in NLU — 2019 · Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
  57. To Annotate or Not? Predicting Performance Drop under Domain Shift — 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)
  58. Variational Pretraining for Semi-supervised Text Classification — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  59. Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples — our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  60. Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  61. Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  62. Semi-Supervised Sequence Modeling with Cross-View Training — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  63. Speaker-Follower Models for Vision-and-Language Navigation — 2018 · arXiv:1806.02724
  64. Strong Baselines for Neural Semi-Supervised Learning under Domain Shift — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  65. Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  66. Attention Is All You Need — 2017 · arXiv:1706.03762
  67. Semi-supervised Structured Prediction with Neural CRF Autoencoder — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  68. Shift-Reduce Constituent Parsing with Neural Lookahead Features — 2017 · Transactions of the Association for Computational Linguistics
  69. Transferring Semantic Roles Using Translation and Syntactic Information — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  70. Unsupervised Domain Adaptation for Clinical Negation Detection — 2017 · Proceedings of the 16th BioNLP Workshop
  71. Word-Context Character Embeddings for Chinese Word Segmentation — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  72. Embedding Lexical Features via Low-Rank Tensors — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  73. From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario — 2016 · Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)
  74. ICL-HD at SemEval-2016 Task 8: Meaning Representation Parsing - Augmenting AMR Parsing with a Preposition Semantic Role Labeling Neural Network — 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
  75. Improving Neural Machine Translation Models with Monolingual Data — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  76. Parsing as Language Modeling — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  77. Unsupervised Resolution of Acronyms and Abbreviations in Nursing Notes Using Document-Level Context Models — 2016 · Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis
  78. An Improved Tag Dictionary for Faster Part-of-Speech Tagging — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  79. Domain Adaptation for Dependency Parsing via Self-Training — 2015 · Proceedings of the 14th International Conference on Parsing Technologies
  80. Feature Optimization for Constituent Parsing via Neural Networks — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  81. Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  82. Modeling Reportable Events as Turning Points in Narrative — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  83. Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation — 2015 · Transactions of the Association for Computational Linguistics
  84. Multi-domain Dialog State Tracking using Recurrent Neural Networks — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  85. Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015 — 2015 · Proceedings of the 2nd Workshop on Asian Translation (WAT2015)
  86. Parsing Learner Text: to Shoehorn or not to Shoehorn — 2015 · Proceedings of the 9th Linguistic Annotation Workshop
  87. Parsing Paraphrases with Joint Inference — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  88. Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  89. Statistical Parsing by Machine Learning from a Classical Arabic Treebank — our card · 2015 · arXiv:1510.07193
  90. Structured Training for Neural Network Transition-Based Parsing — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  91. Transition-based Spinal Parsing — 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning
  92. Unsupervised Dependency Parsing: Let''s Use Supervised Parsers — 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  93. A Domain-Restricted, Rule Based, English-Hindi Machine Translation System Based on Dependency Parsing — 2014 · Proceedings of the 11th International Conference on Natural Language Processing
  94. Adapting taggers to Twitter with not-so-distant supervision — 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers
  95. Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing — 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  96. An Empirical Comparison of Parsing Methods for Stanford Dependencies — our card · 2014 · arXiv:1404.4314
  97. Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information — 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers
  98. Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning — 2014 · Transactions of the Association for Computational Linguistics
  99. Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment — our card · 2014 · Transactions of the Association for Computational Linguistics
  100. Generalizing a Strongly Lexicalized Parser using Unlabeled Data — 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

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