Paper: Integration of Static Relations to Enhance Event Extraction from Text

ACL ID W10-1921
Title Integration of Static Relations to Enhance Event Extraction from Text
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2010
Authors

As research on biomedical text mining is shifting focus from simple binary relations to more expressive event representations, extraction performance drops due to the increase in complexity. Recently intro- duced data sets specifically targeting static relations between named entities and do- main terms have been suggested to enable a better representation of the biological processes underlying annotated events and opportunities for addressing their com- plexity. In this paper, we present the first study of integrating these static relations with event data with the aim of enhanc- ing event extraction performance. While obtaining promising results, we will argue that an event extraction framework will benefit most from this new data when tak- ing intrinsic differences between various event...