BioEve: bio-molecular event extraction from text using semantic classification and dependency parsing

  • Authors:
  • Syed Toufeeq Ahmed;Radhika Nair;Chintan Patel;Hasan Davulcu

  • Affiliations:
  • Arizona State University, Tempe, Arizona;Arizona State University, Tempe, Arizona;Arizona State University, Tempe, Arizona;Arizona State University, Tempe, Arizona

  • Venue:
  • BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
  • Year:
  • 2009

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Abstract

In this paper, we present BioEve a fully automated event extraction system for bio-medical text. It first semantically classifies each sentence to the class type of the event mentioned in the sentence, and then using high coverage hand-crafted rules, it extracts the participants of that event. We participated in Task 1 of BioNLP 2009 Shared task, and the final evaluation results are described here. Our experimentation with different approaches to classify a sentence to bio-interaction classes are also shared.