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CorefUD 1.0: Coreference Meets Universal Dependencies

Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022)

DOI:10.63317/5doyxm79bocj

Abstract

Recent advances in standardization for annotated language resources have led to successful large scale efforts, such as the Universal Dependencies (UD) project for multilingual syntactically annotated data. By comparison, the important task of coreference resolution, which clusters multiple mentions of entities in a text, has yet to be standardized in terms of data formats or annotation guidelines. In this paper we present CorefUD, a multilingual collection of corpora and a standardized format for coreference resolution, compatible with morphosyntactic annotations in the UD framework and including facilities for related tasks such as named entity recognition, which forms a first step in the direction of convergence for coreference resolution across languages.

Details

Paper ID
lrec2022-main-520
Pages
pp. 4859-4872
BibKey
nedoluzhko-etal-2022-corefud
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-38-2
Conference
Thirteenth Language Resources and Evaluation Conference
Location
Marseille, France
Date
20 June 2022 25 June 2022

Authors

  • AN

    Anna Nedoluzhko

  • MN

    Michal Novák

  • MP

    Martin Popel

  • Zdeněk Žabokrtský

  • AZ

    Amir Zeldes

  • DZ

    Daniel Zeman

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