Paper: Search-based Structured Prediction applied to Biomedical Event Extraction

ACL ID W11-0307
Title Search-based Structured Prediction applied to Biomedical Event Extraction
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2011
Authors

We develop an approach to biomedical event extraction using a search-based structured pre- diction 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.