Do UD Trees Match Mention Spans in Coreference Annotations?

Martin Popel, Zdeněk Žabokrtský, Anna Nedoluzhko, Michal Novák, Daniel Zeman


Abstract
One can find dozens of data resources for various languages in which coreference - a relation between two or more expressions that refer to the same real-world entity - is manually annotated. One could also assume that such expressions usually constitute syntactically meaningful units; however, mention spans have been annotated simply by delimiting token intervals in most coreference projects, i.e., independently of any syntactic representation. We argue that it could be advantageous to make syntactic and coreference annotations convergent in the long term. We present a pilot empirical study focused on matches and mismatches between hand-annotated linear mention spans and automatically parsed syntactic trees that follow Universal Dependencies conventions. The study covers 9 datasets for 8 different languages.
Anthology ID:
2021.findings-emnlp.303
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2021
Month:
November
Year:
2021
Address:
Punta Cana, Dominican Republic
Venues:
EMNLP | Findings
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
3570–3576
Language:
URL:
https://aclanthology.org/2021.findings-emnlp.303
DOI:
10.18653/v1/2021.findings-emnlp.303
Bibkey:
Cite (ACL):
Martin Popel, Zdeněk Žabokrtský, Anna Nedoluzhko, Michal Novák, and Daniel Zeman. 2021. Do UD Trees Match Mention Spans in Coreference Annotations?. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 3570–3576, Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Do UD Trees Match Mention Spans in Coreference Annotations? (Popel et al., Findings 2021)
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PDF:
https://aclanthology.org/2021.findings-emnlp.303.pdf