VUACLTL at SemEval 2016 Task 12: A CRF Pipeline to Clinical TempEval

T. Caselli, R. Morante Vallejo

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper describes VUACLTL, the system the CLTL Lab submitted to the SemEval 2016 Task Clinical TempEval. The system is based on a purely data-driven approach based on a cascade of seven CRF classifiers which use
generic features and little domain knowledge. The challenge consisted in six subtasks related to temporal processing clinical notes from raw text (event and temporal expression detection and attribute classification, temporal relation
classification between events and the Document Creation Time, and narrative container detection). The system was initially developed to process newswire texts and then re-trained to process clinical notes. This had an impact on the results, which are not equally competitive for all the subtasks.
Original languageEnglish
Title of host publicationProceedings of SemEval-2016
Place of PublicationSan Diego, California
PublisherAssociation for Computational Linguistics
Pages1241-1247
ISBN (Print)9781941643952
Publication statusPublished - 2016
EventSemEval-2016 - San Diego, California
Duration: 1 Jan 20161 Jan 2016

Conference

ConferenceSemEval-2016
Period1/01/161/01/16

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