A Fine-grained Large-scale Analysis of Coreference Projection

Michal Novák


Abstract
We perform a fine-grained large-scale analysis of coreference projection. By projecting gold coreference from Czech to English and vice versa on Prague Czech-English Dependency Treebank 2.0 Coref, we set an upper bound of a proposed projection approach for these two languages. We undertake a detailed thorough analysis that combines the analysis of projection’s subtasks with analysis of performance on individual mention types. The findings are accompanied with examples from the corpus.
Anthology ID:
W18-0709
Volume:
Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Massimo Poesio, Vincent Ng, Maciej Ogrodniczuk
Venue:
CRAC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
77–86
Language:
URL:
https://aclanthology.org/W18-0709
DOI:
10.18653/v1/W18-0709
Bibkey:
Cite (ACL):
Michal Novák. 2018. A Fine-grained Large-scale Analysis of Coreference Projection. In Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference, pages 77–86, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
A Fine-grained Large-scale Analysis of Coreference Projection (Novák, CRAC 2018)
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PDF:
https://preview.aclanthology.org/improve-issue-templates/W18-0709.pdf