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

9Citations
Citations of this article
75Readers
Mendeley users who have this article in their library.

Abstract

In this paper, we discuss a cross-document coreference annotation schema that we 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.

Cite

CITATION STYLE

APA

Wright-Bettner, K., Palmer, M., Savova, G., de Groen, P., & Miller, T. (2019). Cross-document coreference: An approach to capturing coreference without context. In LOUHI@EMNLP 2019 - 10th International Workshop on Health Text Mining and Information Analysis, Proceedings (pp. 1–10). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d19-6201

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free