Year: 2009
Type: conference-paper
Abstract: We approached the problems of event detection, argument identification, and negation and speculation detection as one of concept recognition and analysis. Our methodology involved using the OpenDMAP semantic parser with manually-written rules. We achieved state-of-the-art precision for two of the three tasks, scoring the highest of 24 teams at precision of 71.81 on Task 1 and the highest of 6 teams at precision of 70.97 on Task 2.
Authors: K. Bretonnel Cohen, Karin Verspoor, Helen L. Johnson, Chris Roeder, Philip V. Ogren, William A. Baumgartner, Elizabeth White, Hannah Tipney, Lawrence Hunter
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W1975481163