Shallow semantic parsing of randomized controlled trial reports.

In this work, we are measuring the performance of Propbank-based Machine Learning (ML) for automatically annotating abstracts of Randomized Controlled Trials (CTRs) with semantically meaningful tags. Propbank is a resource of annotated sentences from the Wall Street Journal (WSJ) corpus, and we were interested in assessing performance issues when porting this resource to the medical domain. We compare intra-domain (WSJ/WSJ) with cross-domain (WSJ/medical abstract) performance.

Incorporation of clinical practice guidelines for glaucoma into an ophthalmology electronic medical record.

Clinical practice guidelines represent the best current thinking on the management of acute and chronic medical conditions. Unfortunately, the implementation of such guidelines in clinical practice has been difficult and problematic. Electronic medical records represent an opportunity to implement guidelines.

Towards semantic role labeling & IE in the medical literature.

Introduction: In this work, we introduce the concept of semantic role labeling to the medical domain. We report first results of porting and adapting an existing resource, Propbank, to the medical field. Propbank is an adjunct to Penn Treebank that provides semantic annotation of predicates and the roles played by their arguments.