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.
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CITATION STYLE
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
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