PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A memory–based learning approach to event extraction in biomedical texts
Roser Morante, Vincent Van Asch and Walter Daelemans
In: BioNLP Shared Task 2009, 4-5 June 2009, Boulder, Colorado, USA.


In this paper we describe the memory-based machine learning system that we submitted to the BioNLP Shared Task on Event Extraction. We modeled the event extraction task using an approach that has been previously applied to other natural language processing tasks like semantic role labeling or negation scope finding. The results obtained by our system (30.58 F-score in Task 1 and 29.27 in Task 2) suggest that the approach and the system need further adaptation to the complexity involved in extracting biomedical events.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:5753
Deposited By:Roser Morante
Deposited On:08 March 2010