Search Results for author: Sejal Popat

Found 1 papers, 1 papers with code

An annotated dataset of literary entities

2 code implementations NAACL 2019 David Bamman, Sejal Popat, Sheng Shen

We present a new dataset comprised of 210, 532 tokens evenly drawn from 100 different English-language literary texts annotated for ACE entity categories (person, location, geo-political entity, facility, organization, and vehicle).

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