mlsanityData to 7 Oct 2026

Moving on from OntoNotes: Coreference Resolution Model Transfer

arXiv 2104.08457 ↗First posted 17 Apr 2021cs.CLcited by 18

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Abstract (arXiv)

Academic neural models for coreference resolution (coref) are typically trained on a single dataset, OntoNotes, and model improvements are benchmarked on that same dataset. However, real-world applications of coref depend on the annotation guidelines and the domain of the target dataset, which often differ from those of OntoNotes. We aim to quantify transferability of coref models based on the number of annotated documents available in the target dataset. We examine eleven target datasets and find that continued training is consistently effective and especially beneficial when there are few target documents. We establish new benchmarks across several datasets, including state-of-the-art results on PreCo.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 30 of its 61 references that are in the map. First posted on arXiv 17 Apr 2021.

Builds on

30 of 61 references.

References · 30

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  3. 2020Don't Stop Pretraining: Adapt Language Models to Domains and Taskscited by 1,548
  4. 2019BERT Rediscovers the Classical NLP Pipelinecited by 1,046
  5. 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 832
  6. 2015Improving Neural Machine Translation Models with Monolingual Datacited by 784
  7. 2020It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learnerscited by 668
  8. 2018Gender Bias in Coreference Resolutioncited by 438
  9. 2018AllenNLP: A Deep Semantic Natural Language Processing Platformcited by 347
  10. 2017End-to-end Neural Coreference Resolutioncited by 240
  11. 2019Gender Bias in Contextualized Word Embeddingscited by 203
  12. 2018Higher-order Coreference Resolution with Coarse-to-fine Inferencecited by 150
18 more
  1. 2019BERT for Coreference Resolution: Baselines and Analysiscited by 125
  2. 2019Coreference Resolution as Query-based Span Predictioncited by 91
  3. 2016Deep Reinforcement Learning for Mention-Ranking Coreference Modelscited by 63
  4. 2019An Annotated Dataset of Coreference in English Literaturecited by 57
  5. 2016Improving Coreference Resolution by Learning Entity-Level Distributed Representationscited by 50
  6. 2018Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examplescited by 34
  7. 2018PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolutioncited by 30
  8. 2020Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networkscited by 29
  9. 2021LOME: Large Ontology Multilingual Extractioncited by 23
  10. 2021Gradual Fine-Tuning for Low-Resource Domain Adaptationcited by 23
  11. 2018Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clusteringcited by 16
  12. 2019A Cluster Ranking Model for Full Anaphora Resolutioncited by 12
  13. 2020A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and Newscited by 8
  14. 2020Understanding Mention Detector-Linker Interaction in Neural Coreference Resolutioncited by 7
  15. 2020Free the Plural: Unrestricted Split-Antecedent Anaphora Resolutioncited by 7
  16. 2020Neural Coreference Resolution for Arabiccited by 7
  17. 2017Transfer Learning for Neural Semantic Parsingcited by 5
  18. 2021Stay Together: A System for Single and Split-antecedent Anaphora Resolutioncited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 5; 2023: 7; 2024: 3; 2025: 1; 2026: 1.

18 papers.

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  1. 2022Coreference Resolution through a seq2seq Transition-Based Systemcited by 34
  2. 2023Are Large Language Models Robust Coreference Resolvers?cited by 15
  3. 2023Seq2seq is All You Need for Coreference Resolutioncited by 10
  4. 2024Major Entity Identification: A Generalizable Alternative to Coreference Resolutioncited by 9
  5. 2022mOKB6: A Multilingual Open Knowledge Base Completion Benchmarkcited by 7
  6. 2022Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference Resolutioncited by 6
  7. 2023Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspectivecited by 6
  8. 2023Examining risks of racial biases in NLP tools for child protective servicescited by 6
  9. 2023Semi-supervised multimodal coreference resolution in image narrationscited by 4
  10. 2022Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Textscited by 3
  11. 2022Multilingual Coreference Resolution in Multiparty Dialoguecited by 2
  12. 2023Sentence-Incremental Neural Coreference Resolutioncited by 2
6 more
  1. 2024Multilingual Coreference Resolution in Low-resource South Asian Languagescited by 2
  2. 2024Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolutioncited by 1
  3. 2021Improving Span Representation for Domain-adapted Coreference Resolutioncited by 0
  4. 2023Ensemble Transfer Learning for Multilingual Coreference Resolutioncited by 0
  5. 2025Efficient Seq2seq Coreference Resolution Using Entity Representationscited by 0
  6. 2026Closing the Gap at CRAC 2026: Two-Stage Adaptation for LLM-Based Multilingual Coreference Resolutioncited by 0