mlsanityData to 7 Oct 2026

Learning Global Features for Coreference Resolution

arXiv 1604.03035 ↗First posted 11 Apr 2016cs.CLcited by 20

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Abstract (arXiv)

There is compelling evidence that coreference prediction would benefit from modeling global information about entity-clusters. Yet, state-of-the-art performance can be achieved with systems treating each mention prediction independently, which we attribute to the inherent difficulty of crafting informative cluster-level features. We instead propose to use recurrent neural networks (RNNs) to learn latent, global representations of entity clusters directly from their mentions. We show that such representations are especially useful for the prediction of pronominal mentions, and can be incorporated into an end-to-end coreference system that outperforms the state of the art without requiring any additional search.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2016.

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Citing papers per year: 2021: 6; 2022: 6; 2023: 4; 2024: 3; 2025: 1.

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  1. 2023VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolutioncited by 52
  2. 2021OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genrescited by 18
  3. 2021Sequential Cross-Document Coreference Resolutioncited by 12
  4. 2021End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baselinecited by 7
  5. 2022Graph Refinement for Coreference Resolutioncited by 7
  6. 2022Who are you referring to? Coreference resolution in image narrationscited by 7
  7. 2023Transformers as Graph-to-Graph Modelscited by 5
  8. 2022Scoring Coreference Chains with Split-Antecedent Anaphorscited by 4
  9. 2022Longtonotes: OntoNotes with Longer Coreference Chainscited by 4
  10. 2023A Survey on Semantic Processing Techniquescited by 4
  11. 2021Stay Together: A System for Single and Split-antecedent Anaphora Resolutioncited by 3
  12. 2021Anatomy of OntoGUM--Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithmscited by 3
8 more
  1. 2023RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolutioncited by 3
  2. 2022Hybrid Rule-Neural Coreference Resolution System based on Actor-Critic Learningcited by 1
  3. 2021Coreference Resolution: Are the eliminated spans totally worthless?cited by 0
  4. 2022Review of coreference resolution in English and Persiancited by 0
  5. 2024SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolutioncited by 0
  6. 2024Efficient Sample-Specific Encoder Perturbationscited by 0
  7. 2024Persian Pronoun Resolution: Leveraging Neural Networks and Language Modelscited by 0
  8. 2025CorefInst: Leveraging LLMs for Multilingual Coreference Resolutioncited by 0