Using Automated Feature Optimisation to Create an Adaptable Relation Extraction System

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An adaptable relation extraction system for the biomedical domain is presented. The system makes use of a large set of contextual and shallow syntactic features, which can be automatically optimised for each relation type. The system is tested on three different relation types; protein-protein interactions, tissue expression relations and fragment to parent protein relations.
Original languageEnglish
Title of host publicationProceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Place of PublicationColumbus, Ohio
PublisherAssociation for Computational Linguistics
Pages19-27
Number of pages9
Publication statusPublished - 1 Jun 2008

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