BioEve: Bio-Molecular Event Extraction from Text Using Semantic Classification and Dependency Parsing

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2009 Biomedical Natural Language Processing Workshop, BioNLP 2009 - Companion Volume
Subtitle of host publicationShared Task on Event Extraction
EditorsJun�ichi Tsujii, Jun�ichi Tsujii
PublisherAssociation for Computational Linguistics (ACL)
Pages99-102
Number of pages4
ISBN (Electronic)9781932432442
StatePublished - 2009
Event2009 Biomedical Natural Language Processing Workshop, BioNLP 2009 - Boulder, United States
Duration: Jun 5 2009 → …

Publication series

Name2009 Biomedical Natural Language Processing Workshop, BioNLP 2009 - Companion Volume: Shared Task on Event Extraction

Conference

Conference2009 Biomedical Natural Language Processing Workshop, BioNLP 2009
Country/TerritoryUnited States
CityBoulder
Period6/5/09 → …

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science Applications
  • Information Systems
  • Software
  • Biomedical Engineering
  • Health Informatics

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