Papers › An Annotated Dataset of Coreference in English Literature

An Annotated Dataset of Coreference in English Literature

3 Dec 2019LREC 2020 5arXiv:1912.01140archive 2025-07-28

David Bamman, Olivia Lewke, Anya Mansoor

We present in this work a new dataset of coreference annotations for works of literature in English, covering 29,103 mentions in 210,532 tokens from 100 works of fiction. This dataset differs from previous coreference datasets in containing documents whose average length (2,105.3 words) is four times longer than other benchmark datasets (463.7 for OntoNotes), and contains examples of difficult coreference problems common in literature. This dataset allows for an evaluation of cross-domain performance for the task of coreference resolution, and analysis into the characteristics of long-distance within-document coreference.

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dbamman/litbank officialmentioned in papermentioned on GitHubpytorch report
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Coreference Resolution

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