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


Clinical NLP at 2012 NAACL Human Language Technology Conference