High-precision biological event extraction with a concept recognizer.

K. Bretonnel Cohen,Karin Verspoor,Helen L. Johnson,Christophe Roeder,Philip V. Ogren,William A. Baumgartner Jr.,Elizabeth K. White,Lawrence Hunter

BioNLP '09: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task（2009）

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摘要

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. The OpenDMAP system and the rule set are available at bionlp.sourceforge.net.

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关键词

state-of-the-art precision,OpenDMAP semantic parser,OpenDMAP system,event detection,speculation detection,argument identification,concept recognition,manually-written rule,rule set,concept recognizer,high-precision biological event extraction

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