@inproceedings{kilicoglu2009,
  added-at = {2009-10-22T15:17:50.000+0200},
  address = {Boulder, Colorado},
  author = {Kilicoglu, Halil and Bergler, Sabine},
  biburl = {http://www.bibsonomy.org/bibtex/2d5c1b6f86e61c373f862129cebc9b531/jnothman},
  booktitle = {Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task},
  description = {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.},
  interhash = {06a4e1b24252ea79010681afe45b6058},
  intrahash = {d5c1b6f86e61c373f862129cebc9b531},
  keywords = {biomedical bionlp09 dependency_parse event_extraction rule_based speculation_detection},
  month = {June},
  pages = {119--127},
  publisher = {Association for Computational Linguistics},
  timestamp = {2009-10-22T15:17:50.000+0200},
  title = {Syntactic Dependency Based Heuristics for Biological Event Extraction},
  url = {http://www.aclweb.org/anthology/W09-1418},
  year = 2009
}