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

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.