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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

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  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. Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. 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)
  5. Leveraging the Structure of Pre-trained Embeddings to Minimize Annotation Effort — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  6. 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)
  7. Source-Free Domain Adaptation for Question Answering with Masked Self-training — 2024 · Transactions of the Association for Computational Linguistics
  8. Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  9. Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  10. Friend-training: Learning from Models of Different but Related Tasks — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  11. 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
  12. Reducing cohort bias in natural language understanding systems with targeted self-training scheme — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
  13. Rethinking Semi-supervised Learning with Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  14. SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  15. Toolformer: Language Models Can Teach Themselves to Use Tools — 2023 · arXiv:2302.04761
  16. 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)
  17. 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
  18. Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks — 2022 · Transactions of the Association for Computational Linguistics
  19. Automatic Rule Induction for Efficient Semi-Supervised Learning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  20. Co-training an Unsupervised Constituency Parser with Weak Supervision — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  21. Coordination Generation via Synchronized Text-Infilling — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  22. Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary Tasks — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  23. Improving Low-resource RRG Parsing with Cross-lingual Self-training — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  24. Multi-Domain Targeted Sentiment Analysis — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  25. 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
  26. Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation — 2022 · Transactions of the Association for Computational Linguistics
  27. STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  28. Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. 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
  30. Thematic Fit Bits: Annotation Quality and Quantity Interplay for Event Participant Representation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  31. Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  32. Unsupervised Domain Adaptation for Question Generation with DomainData Selection and Self-training — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  33. Break-It-Fix-It: Unsupervised Learning for Program Repair — 2021 · arXiv:2106.06600
  34. Capturing document context inside sentence-level neural machine translation models with self-training — 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse
  35. Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond — 2021 · arXiv:2109.00725
  36. Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  37. 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
  38. 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
  39. 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
  40. 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)
  41. Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training — 2021 · Proceedings of the 1st Workshop on Multilingual Representation Learning
  42. Revisiting Self-training for Few-shot Learning of Language Model — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  43. Revisiting Tri-training of Dependency Parsers — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  44. STraTA: Self-Training with Task Augmentation for Better Few-shot Learning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  45. Self-Training for Compositional Neural NLG in Task-Oriented Dialogue — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
  46. 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
  47. 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
  48. A Semi-supervised Approach for De-identification of Swedish Clinical Text — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  49. Affective Event Classification with Discourse-enhanced Self-training — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  50. An Imitation Game for Learning Semantic Parsers from User Interaction — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  51. 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)
  52. 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)
  53. Cross-Lingual Dependency Parsing via Self-Training — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  54. Data Augmentation via Subtree Swapping for Dependency Parsing of Low-Resource Languages — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  55. Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  56. Improving Disfluency Detection by Self-Training a Self-Attentive Model — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  57. 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
  58. On the Role of Supervision in Unsupervised Constituency Parsing — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  59. 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
  60. Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  61. Semi-Supervised Tri-Training for Explicit Discourse Argument Expansion — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  62. Semi-supervised Domain Adaptation for Dependency Parsing via Improved Contextualized Word Representations — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  63. SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  64. 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)
  65. Unsupervised Discourse Constituency Parsing Using Viterbi EM — 2020 · Transactions of the Association for Computational Linguistics
  66. Zero-shot Text Classification via Reinforced Self-training — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  67. 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)
  68. 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)
  69. Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  70. 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
  71. 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)
  72. 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
  73. Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning — 2019 · arXiv:1909.05438
  74. Paraphrase Generation for Semi-Supervised Learning in NLU — 2019 · Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
  75. Text Genre and Training Data Size in Human-like 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)
  76. 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)
  77. Variational Pretraining for Semi-supervised Text Classification — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  78. 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)
  79. 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)
  80. 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
  81. Le benchmarking de la reconnaissance d'entités nommées pour le français (Benchmarking for French NER) — 2018 · Actes de la Conférence TALN. Volume 1 - Articles longs, articles courts de TALN
  82. Semi-Supervised Sequence Modeling with Cross-View Training — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  83. Speaker-Follower Models for Vision-and-Language Navigation — 2018 · arXiv:1806.02724
  84. 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)
  85. Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  86. Attention Is All You Need — 2017 · arXiv:1706.03762
  87. Semi-supervised Structured Prediction with Neural CRF Autoencoder — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  88. Shift-Reduce Constituent Parsing with Neural Lookahead Features — 2017 · Transactions of the Association for Computational Linguistics
  89. Skip-Prop: Representing Sentences with One Vector Per Proposition — 2017 · Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Short papers
  90. Three-phase training to address data sparsity in Neural Machine Translation — 2017 · Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)
  91. Transferring Semantic Roles Using Translation and Syntactic Information — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  92. Unsupervised Domain Adaptation for Clinical Negation Detection — 2017 · Proceedings of the 16th BioNLP Workshop
  93. Word-Context Character Embeddings for Chinese Word Segmentation — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  94. Addressing Limited Data for Textual Entailment Across Domains — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  95. Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors — 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP
  96. 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
  97. Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
  98. From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario — 2016 · Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)
  99. 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)
  100. 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)

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