PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Extraction of Biomedical Events
Roser Morante, Vincent Van Asch and Walter Daelemans
In: Computational Linguistics in the Netherlands 2010 (2010) LOT , Utrecht, The Netherlands , pp. 91-106. ISBN 9789460930478

Abstract

In this paper we describe a memory-based machine learning system that extracts biomedical events from texts relying on information from contextual and syntactic features. The main characteristics of the system are that it uses information from dependency syntax and that it integrates classifiers that learn event triggers and event participants jointly. The results show that this system is more efficient than a similar memory-based system that used shallow context information and integrated classifiers in a traditional pipeline architecture.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:7353
Deposited By:Vincent Van Asch
Deposited On:17 March 2011