mlsanityData to 7 Oct 2026

[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs

arXiv 2401.17922 ↗First posted 31 Jan 2024cs.CLcited by 8

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Abstract (arXiv)

Coreference annotation and resolution is a vital component of computational literary studies. However, it has previously been difficult to build high quality systems for fiction. Coreference requires complicated structured outputs, and literary text involves subtle inferences and highly varied language. New language-model-based seq2seq systems present the opportunity to solve both these problems by learning to directly generate a copy of an input sentence with markdown-like annotations. We create, evaluate, and release several trained models for coreference, as well as a workflow for training new models.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 19 of its 27 references that are in the map. First posted on arXiv 31 Jan 2024.

Builds on

19 of 27 references.

References · 19

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  2. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
  3. 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scalingcited by 1,734
  4. 2017End-to-end Neural Coreference Resolutioncited by 240
  5. 2019BERT for Coreference Resolution: Baselines and Analysiscited by 125
  6. 2019Coreference Resolution as Query-based Span Predictioncited by 91
  7. 2020Coreferential Reasoning Learning for Language Representationcited by 80
  8. 2016Deep Reinforcement Learning for Mention-Ranking Coreference Modelscited by 63
  9. 2019An Annotated Dataset of Coreference in English Literaturecited by 57
  10. 2020Modeling Protagonist Emotions for Emotion-Aware Storytellingcited by 42
  11. 2022Coreference Resolution through a seq2seq Transition-Based Systemcited by 34
  12. 2019Movie Plot Analysis via Turning Point Identificationcited by 33
7 more
  1. 2022LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolutioncited by 26
  2. 2022F-coref: Fast, Accurate and Easy to Use Coreference Resolutioncited by 23
  3. 2023Are Large Language Models Robust Coreference Resolvers?cited by 15
  4. 2022Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Expertscited by 10
  5. 2023Seq2seq is All You Need for Coreference Resolutioncited by 10
  6. 2020A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and Newscited by 8
  7. 2023Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Modelscited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 5; 2026: 1.

8 papers.

  1. 2025Referential ambiguity and clarification requests: comparing human and LLM behaviourcited by 5
  2. 2025Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?cited by 5
  3. 2025The Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Workscited by 4
  4. 2025LegalCore: A Dataset for Event Coreference Resolution in Legal Documentscited by 3
  5. 2024Says Who? Effective Zero-Shot Annotation of Focalizationcited by 2
  6. 2024Generating Visual Stories with Grounded and Coreferent Characterscited by 1
  7. 2025Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolutioncited by 0
  8. 2026FineREX: Fine-Tuned NER-RE for Human Smuggling Knowledge Graphscited by 0