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SUMMARY:Search-based Structured Prediction applied to Biomedical Event Ext
 raction - Andreas Vlachos\, University of Cambridge
DTSTART:20111014T110000Z
DTEND:20111014T120000Z
UID:TALK33736@talks.cam.ac.uk
CONTACT:Thomas Lippincott
DESCRIPTION:We develop an approach to biomedical event extraction under th
 e\nsearch-based structured prediction framework (SEARN) which converts\nth
 e task into cost-sensitive classification (CSC) tasks whose models\nare le
 arned jointly. We show that SEARN improves on a simple yet\nstrong pipelin
 e  by 8.6 points in F-score on the BioNLP 2009 shared\ntask. Additionally\
 , we consider the issue of cost estimation during\nlearning and present an
  approach called focused costing that improves\nimproves efficiency and pr
 edictive accuracy.\n
LOCATION:FW26\, Computer Laboratory
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