The Frame-Based Module of the SUISEKI Information Extraction System
IEEE Intelligent Systems
Automatic Extraction of Biological Information from Scientific Text: Protein-Protein Interactions
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
RelEx---Relation extraction using dependency parse trees
Bioinformatics
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Extracting biological events from text using simple syntactic patterns
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
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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.