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A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation

URN to cite this document:
urn:nbn:de:bvb:355-epub-434200
DOI to cite this document:
10.5283/epub.43420
Poesio, Massimo ; Chamberlain, Jon ; Paun, Silviu ; Yu, Juntao ; Uma, Alexandra ; Kruschwitz, Udo
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License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 29 Jun 2020 13:34


Abstract

We present a corpus of anaphoric information (coreference) crowdsourced through a game-with-a-purpose. The corpus, containing annotations for about 108,000 markables, is one of the largest corpora for coreference for English, and one of the largest crowdsourced NLP corpora, but its main feature is the large number of judgments per markable: 20 on average, and over 2.2M in total. This ...

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