Analysis of Clinical Text: Task 14 of SemEval 2015

SemEval (Semantic Evaluation) is an ongoing series of evaluations of
computational semantic analysis systems, organized under the umbrella of
SIGLEX, the Special Interest Group on the Lexicon of the Association for
Computational Linguistics. This project describes "Analysis of Clinical Text"
task of the International Workshop on Semantic Evaluation 2014 and 2015
(SemEval 2014 and 2015) [2,3,4,5]. The purpose of the task is to enhance
current research in natural language processing (NLP) methods used in the
clinical domain, and to introduce clinical text processing to the broader NLP
community. The task aims to combine supervised methods for text analysis with
unsupervised approaches for entity/acronym/abbreviation recognition and
mapping to Unified Medical Language System (UMLS) Concept Unique Identifiers
(CUIs). It also evaluated systems on the task of template filling [1], which
involves the population of eight attributes of the identified disorders with
their normalized values.