Paper: UniPi: Recognition of Mentions of Disorders in Clinical Text

ACL ID S14-2134
Title UniPi: Recognition of Mentions of Disorders in Clinical Text
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

The paper describes our experiments ad- dressing the SemEval 2014 task on the Analysis of Clinical text. Our approach consists in extending the techniques of NE recognition, based on sequence label- ling, to address the special issues of this task, i.e. the presence of overlapping and discontiguous mentions and the require- ment to map the mentions to unique iden- tifiers. We explored using supervised methods in combination with word em- beddings generated from unannotated da- ta.