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Syntactic Dependency Based Heuristics for Biological Event Extraction

by: Halil Kilicoglu, and Sabine Bergler
In: Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task Boulder, Colorado: Association for Computational Linguistics (June 2009) , p. 119--127.
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Rule-based event extraction from dependency parses. 3rd in BioNLP shared task 1, and 1st in task 3. Pipeline: identify trigger; identify participants; regulation events with sub-events are recursively checked for validity. Build event trigger dictionary based on training data, and calculated maximum likelihood scores, such that words would be ignored if below a threshold. Analysed dependency relationship paths (Stanford "collapsed" Parser) from trigger to entity, implementing 27 rules based on correctness and generality. [How might one learn do this automatically?] For "require" and "involve", rules are reversed. Special rule for hyphenated terms. Rules are applied in the order of simplicity. Special handling of coordination, apposition; also rules for speculation and negation detection.

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