Linked to from EHR Usability, Workflow & NLP Presentations at AMIA 2012 on the EHR Workflow Management Systems blog.

AMIA 2012: Syntactic Dependency Parsers for Biomedical-NLP

ABSTRACT: Syntactic parsers have made a leap in accuracy and speed in recent years. The high order structural information provided by dependency parsers is useful for a variety of NLP applications. We present a biomedical model for the EasyFirst parser, a fast and accurate parser for creating Stanford Dependencies. We evaluate the models trained in the biomedical domains of EasyFirst and Clear-Parser in a number of task oriented metrics. Both parsers provide stat of the art speed and accuracy in the Genia of over 89%.We show that Clear-Parser excels at tasks relating to negation identification while EasyFirst excels at tasks relating to Named Entities and is more robust to changes in domain.

AMIA 2012 Itinerary Planner

Related:

Clinical NLP at 2012 NAACL Human Language Technology Conference