Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Constraint-based RMRS construction from shallow grammars
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
The second release of the RASP system
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Developing a robust part-of-speech tagger for biomedical text
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
Chart mining-based lexical acquisition with precision grammars
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Using SVMs with the command relation features to identify negated events in biomedical literature
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
A parser-based approach to detecting modification of biomedical events
Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Cross-genre and cross-domain detection of semantic uncertainty
Computational Linguistics
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This work describes a system for the tasks of identifying events in biomedical text and marking those that are speculative or negated. The architecture of the system relies on both Machine Learning (ML) approaches and hand-coded precision grammars. We submitted the output of our approach to the event extraction shared task at BioNLP 2009, where our methods suffered from low recall, although we were one of the few teams to provide answers for task 3.