Paper: Statistical Anaphora Resolution in Biomedical Texts

ACL ID C08-1033
Title Statistical Anaphora Resolution in Biomedical Texts
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

This paper presents a probabilistic model for resolution of non-pronominal anaphora in biomedical texts. The model seeks to find the antecedents of anaphoric expres- sions, bothcoreferentandassociativeones, and also to identify discourse-new expres- sions. We consider only the noun phrases referringtobiomedicalentities. Themodel reaches state-of-the art performance: 56- 69% precision and 54-67% recall on coref- erent cases, and reasonable performance on different classes of associative cases.