mlsanityData to 7 Oct 2026

End-to-end Neural Coreference Resolution

arXiv 1707.07045 ↗First posted 21 Jul 2017cs.CLcited by 240

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Abstract (arXiv)

We introduce the first end-to-end coreference resolution model and show that it significantly outperforms all previous work without using a syntactic parser or hand-engineered mention detector. The key idea is to directly consider all spans in a document as potential mentions and learn distributions over possible antecedents for each. The model computes span embeddings that combine context-dependent boundary representations with a head-finding attention mechanism. It is trained to maximize the marginal likelihood of gold antecedent spans from coreference clusters and is factored to enable aggressive pruning of potential mentions. Experiments demonstrate state-of-the-art performance, with a gain of 1.5 F1 on the OntoNotes benchmark and by 3.1 F1 using a 5-model ensemble, despite the fact that this is the first approach to be successfully trained with no external resources.

Key facts. Cited by 240 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jul 2017.

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Citing papers per year: 2021: 77; 2022: 56; 2023: 34; 2024: 27; 2025: 25; 2026: 21.

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  1. 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,222
  2. 2022Prompting GPT-3 To Be Reliablecited by 258
  3. 2022Unified Structure Generation for Universal Information Extractioncited by 220
  4. 2022Large Language Models are Few-Shot Clinical Information Extractorscited by 206
  5. 2021Structured Prediction as Translation between Augmented Natural Languagescited by 183
  6. 2022The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymizationcited by 94
  7. 2021Multi-Modal Answer Validation for Knowledge-Based VQAcited by 78
  8. 2024Bias in Large Language Models: Origin, Evaluation, and Mitigationcited by 77
  9. 2021Learning Span-Level Interactions for Aspect Sentiment Triplet Extractioncited by 60
  10. 2021Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Modelscited by 57
  11. 2023VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolutioncited by 52
  12. 2024CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreferencecited by 51
38 more
  1. 2021Packed Levitated Marker for Entity and Relation Extractioncited by 49
  2. 2021Coreference Resolution without Span Representationscited by 45
  3. 2022Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extractioncited by 44
  4. 2023Entity Tracking in Language Modelscited by 44
  5. 2022Autoregressive Structured Prediction with Language Modelscited by 43
  6. 2021Word-Level Coreference Resolutioncited by 40
  7. 2021EntQA: Entity Linking as Question Answeringcited by 34
  8. 2022Coreference Resolution through a seq2seq Transition-Based Systemcited by 34
  9. 2021An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learningcited by 31
  10. 2021Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewritingcited by 30
  11. 2022Learning to Model Editing Processescited by 30
  12. 2021Cross-document Coreference Resolution over Predicted Mentionscited by 29
  13. 2022LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolutioncited by 26
  14. 2024Can Large Language Models Understand Context?cited by 26
  15. 2021Dictionary-based Debiasing of Pre-trained Word Embeddingscited by 24
  16. 2021On Generalization in Coreference Resolutioncited by 24
  17. 2021LOME: Large Ontology Multilingual Extractioncited by 23
  18. 2021WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipediacited by 23
  19. 2022F-coref: Fast, Accurate and Easy to Use Coreference Resolutioncited by 23
  20. 2021End-to-End NLP Knowledge Graph Constructioncited by 21
  21. 2021Weakly Supervised Named Entity Tagging with Learnable Logical Rulescited by 21
  22. 2021Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inferencecited by 19
  23. 2024Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trendscited by 19
  24. 2021Moving on from OntoNotes: Coreference Resolution Model Transfercited by 18
  25. 2021OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genrescited by 18
  26. 2021CDLM: Cross-Document Language Modelingcited by 17
  27. 2023Transformers in Healthcare: A Surveycited by 17
  28. 2021Who's Waldo? Linking People Across Text and Imagescited by 16
  29. 2021Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreferencecited by 16
  30. 2021SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoningcited by 16
  31. 2024Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understandingcited by 16
  32. 2021Realistic Evaluation Principles for Cross-document Coreference Resolutioncited by 15
  33. 2023Are Large Language Models Robust Coreference Resolvers?cited by 15
  34. 2021SciCo: Hierarchical Cross-Document Coreference for Scientific Conceptscited by 14
  35. 2021Unsupervised Enrichment of Persona-grounded Dialog with Background Storiescited by 14
  36. 2021Video Question Answering with Phrases via Semantic Rolescited by 13
  37. 2021CREAD: Combined Resolution of Ellipses and Anaphora in Dialoguescited by 13
  38. 2021Multilingual Coreference Resolution with Harmonized Annotationscited by 13

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