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Enhanced PIELG: A Protein Interaction Extraction System using a Link Grammar Parser from biomedical abstracts

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2 Author(s)
Seoud, R. ; Dept. of Comput. Eng., Fayoum Univ., Fayoum ; Kadah, Y.M.

Due to the ever growing amount of publications about protein-protein interactions, information extraction from text is increasingly recognized as one of crucial technologies in bioinformatics. This paper investigates the effect of adding a new module - Complex Sentence Processor (CSP) - to the PIELG system. PIELG is a Protein Interaction Extraction System using a Link Grammar Parser from biomedical abstracts (PIELG). PIELG uses linkage given by the Link Grammar Parser to start a case based analysis of contents of various syntactic roles as well as their linguistically significant and meaningful combinations. The system uses phrasal-prepositional verbs patterns to overcome preposition combinations problems. The recall and precision are enhanced to 49.33 % and 65.16 % respectively. Experimental evaluations with two other state-of-the-art extraction systems indicate that enhanced PIELG system achieves better performance. The result shows that the performance is remarkably promising.

Published in:

Biomedical Engineering Conference, 2008. CIBEC 2008. Cairo International

Date of Conference:

18-20 Dec. 2008

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