Learning Relations from Biomedical Corpora Using D

Authors: Sophia Katrenko Pieter Adriaans

Publish Date: 2006/5/10

Volume: , Issue: , Pages: 61-80

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Abstract

In this paper we address the relation learning problem in the biomedical domain We propose a representation which takes into account the syntactic information and allows for using different machine learning methods To carry out the syntactic analysis three parsers LinkParser Minipar and Charniak parser were used The results we have obtained are comparable to the performance of relation learning systems in the biomedical domain and in some cases outperform them In addition we have studied the impact of ensemble methods on learning relations using the representation we proposed Given that recall is very important for the relation learning we explored the ways of improving it It has been shown that ensemble methods provide higher recall and precision than individual classifiers alone

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