Paper: ThinkMiners: Disorder Recognition using Conditional Random Fields and Distributional Semantics

ACL ID S14-2116
Title ThinkMiners: Disorder Recognition using Conditional Random Fields and Distributional Semantics
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

In 2014, SemEval organized multiple chal- lenges on natural language processing and information retrieval. One of the task was analysis of the clinical text. This challenge is further divided into two tasks. The task A of the challenge was to extract disor- der mention spans in the clinical text and the task B was to map each of the disor- der mentions to a unique Unified Medical Language System Concept Unique Iden- tifier. We participated in the task A and developed a clinical disorder recognition system. The proposed system consists of a Conditional Random Fields based ap- proach to recognize disorder entities. The SemEval challenge organizers manually annotated disorder entities in 298 clini- cal notes, of which 199 notes were used for training and 99 for development. On the test data, ...