Cross-document coreference: An approach to capturing coreference without context

Kristin Wright-Bettner, Martha Palmer, Guergana Savova, Piet de Groen, Timothy Miller


Abstract
This paper discusses a cross-document coreference annotation schema that was developed to further automatic extraction of timelines in the clinical domain. Lexical senses and coreference choices are determined largely by context, but cross-document work requires reasoning across contexts that are not necessarily coherent. We found that an annotation approach that relies less on context-guided annotator intuitions and more on schematic rules was most effective in creating meaningful and consistent cross-document relations.
Anthology ID:
D19-6201
Volume:
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
Month:
November
Year:
2019
Address:
Hong Kong
Venues:
EMNLP | Louhi | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–10
Language:
URL:
https://www.aclweb.org/anthology/D19-6201
DOI:
10.18653/v1/D19-6201
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/D19-6201.pdf