Expanding a Dictionary of Marker Words for Uncertainty and Negation Using Distributional Semantics

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

Approaches to determining the factuality of diagnoses and findings in clinical text tend to rely on dictionaries of marker words for uncertainty and negation. Here, a method for semi-automatically expanding a dictionary of marker words using distributional semantics is presented and evaluated. It is shown that ranking candidates for inclusion according to their proximity to cluster centroids of semantically similar seed words is more successful than ranking them according to proximity to each individual seed word.

Details

Authors
  • Alyaa Alfalahi
  • Rickard Ahlblom
  • Maira Skeppstedt
  • Roza Baskalayci
  • Aron Henriksson
  • Lars Asker
  • Carita Paradis
  • Andreas Kerren
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer and Information Science

Keywords

  • clinical text, negation, uncertainty, marker words, distributional semantics
Original languageEnglish
Title of host publication[Host publication title missing]
EditorsCyril Grouin, Thierry Hamon, Aurélie Névéol, Pierre Zweigenbaum
Pages90-96
Number of pages6
Publication statusPublished - 2015
Publication categoryResearch
Peer-reviewedYes
Event6th International Workshop on Health Text Mining and Information Analysis (Louhi '15), Lisbon, Portugal, 2015 Proceedings of the 6th International Workshop on Health Text Mining and Information Analysis (Louhi '15): Short Paper Track, Association for Computational Linguistics, 2015 - Lisbon
Duration: 2015 Sep 17 → …

Conference

Conference6th International Workshop on Health Text Mining and Information Analysis (Louhi '15), Lisbon, Portugal, 2015 Proceedings of the 6th International Workshop on Health Text Mining and Information Analysis (Louhi '15): Short Paper Track, Association for Computational Linguistics, 2015
Period2015/09/17 → …

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Related projects

Carita Paradis, Andreas Kerren, Magnus Sahlgren, Kostiantyn Kucher, Maria Skeppstedt & Vasiliki Simaki

Swedish Research Council

2013/01/012018/01/02

Project: Research

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