An Annotated Dataset of Coreference in English Literature

David Bamman, Olivia Lewke, Anya Mansoor
12/3/2019
cs.CL

Official code: dbamman/litbank (385 stars, last commit 2022-12-08). 1 more implementation below.

Abstract

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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Code Implementations(2)

dbamman/litbankOfficial100%

Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational humanities.

38553Shell, PythonApr 1, 20193 years ago
dbamman/lrec2020-corefOfficial100%

Code and data to support Bamman et al. (2020), "A Dataset of Literary Coreference" (LREC)

114PythonMar 6, 20203 years ago

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Cite this paper

@article{bamman2019annotated,
  title  = {An Annotated Dataset of Coreference in English Literature},
  author = {David Bamman and Olivia Lewke and Anya Mansoor},
  year   = {2019},
  eprint = {1912.01140},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1912.01140}
}

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