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- W1580778888 abstract "We develop an approach to biomedical event extraction using a search-based structured prediction framework, SEARN, which converts the task into cost-sensitive classification tasks whose models are learned jointly. We show that SEARN improves on a simple yet strong pipeline by 8.6 points in F-score on the BioNLP 2009 shared task, while achieving the best reported performance by a joint inference method. Additionally, we consider the issue of cost estimation during learning and present an approach called focused costing that improves improves efficiency and predictive accuracy." @default.
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- W1580778888 date "2011-06-23" @default.
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- W1580778888 title "Search-based Structured Prediction applied to Biomedical Event Extraction" @default.
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