Anaphora resolution for biomedical literature by exploiting multiple resources

Authors:
Tyne Liang;Yu-Hsiang Lin
Affiliations:
Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, ROC;Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, ROC
Venue:
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Year:
2005

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Abstract

In this paper, a resolution system is presented to tackle nominal and pronominal anaphora in biomedical literature by using rich set of syntactic and semantic features. Unlike previous researches, the verification of semantic association between anaphors and their antecedents is facilitated by exploiting more outer resources, including UMLS, WordNet, GENIA Corpus 3.02p and PubMed. Moreover, the resolution is implemented with a genetic algorithm on its feature selection. Experimental results on different biomedical corpora showed that such approach could achieve promising results on resolving the two common types of anaphora.