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Expanding a Dictionary of Marker Words for Uncertainty and Negation Using Distributional Semantics
Stockholm University.
Linnaeus University, Faculty of Technology, Department of Computer Science. Gavagai AB, Sweden. (ISOVIS)ORCID iD: 0000-0001-6164-7762
Stockholm University.
Stockholm University.
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2015 (English)In: Proceedings of the 6th International Workshop on Health Text Mining and Information Analysis (Louhi '15): Short Paper Track / [ed] Cyril Grouin, Thierry Hamon, Aurélie Névéol, and Pierre Zweigenbaum, Association for Computational Linguistics , 2015, 90-96 p.Conference paper, Published paper (Refereed)
Abstract [en]

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. 

Place, publisher, year, edition, pages
Association for Computational Linguistics , 2015. 90-96 p.
Keyword [en]
distributional semantics, marker words, uncertainty, negation, clinical text
National Category
Language Technology (Computational Linguistics)
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-45648ISBN: 978-1-941643-32-7 (print)OAI: oai:DiVA.org:lnu-45648DiVA: diva2:844970
Conference
6th International Workshop on Health Text Mining and Information Analysis (Louhi '15), Lisbon, Portugal, 2015
Projects
StaViCTA
Funder
Swedish Research Council, 2012-5659
Available from: 2015-08-10 Created: 2015-08-10 Last updated: 2017-04-19Bibliographically approved

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Skeppstedt, MariaParadis, CaritaKerren, Andreas
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf