Protein-protein relation extraction from biomedical abstracts

Syed Toufeeq Ahmed, Hasan Davulcu, Sukru Tikves, Radhika Nair, Chintan Patel

Research output: Chapter in Book/Report/Conference proceedingChapter


Recently, extraction systems have also used link grammar to identify interactions between proteins. In this chapter, the authors present a fully automated system to extract biomolecular events from biomedical abstracts. By semantically classifying each sentence to the class type of the event and then using high-coverage rules, BioEve extracts the participants of that event. The chapter explains in detail different classification approaches, and event extraction using a dependency parse tree of the sentence is explained here. It describes experiments with classification approaches, event extraction, and evaluation results for the BioNLP'09 shared task 1.

Original languageEnglish (US)
Title of host publicationBiological Knowledge Discovery Handbook
Subtitle of host publicationPreprocessing, Mining and Postprocessing of Biological Data
Number of pages25
ISBN (Electronic)9781118617151
ISBN (Print)9781118853726
StatePublished - 2014

ASJC Scopus subject areas

  • Computer Science(all)


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