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

Published in Proceedings of the Tenth International Workshop on Health Text Mining and …, 2019, 2019

Recommended citation: Kristin Wright-Bettner, Martha Palmer, Guergana K Savova, Piet de Groen, and Timothy A Miller. 2019. Cross-document coreference: An approach to capturing coreference without context. In Proceedings of the Tenth International Workshop on Health Text Mining and …, 2019. https://aclanthology.org/D19-6201.pdf

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.