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Marker Words for Negation and Speculation in Health Records and Consumer Reviews
Linnaeus University, Faculty of Technology, Department of Computer Science. Gavagai AB. (ISOVIS)ORCID iD: 0000-0001-6164-7762
Lund University .ORCID iD: 0000-0002-7240-9003
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2016 (English)In: Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine (SMBM '16) / [ed] Mariana Neves, Fabio Rinaldi, Goran Nenadic, and Dietrich Rebholz-Schuhmann, CEUR-WS.org , 2016, Vol. 1650, 64-69 p.Conference paper, Published paper (Refereed)
Abstract [en]

Conditional random fields were trained to detect marker words for negation and speculation in two corpora belonging to two very different domains: clinical text and consumer review text. For the corpus of clinical text, marker words for speculation and negation were detected with results in line with previously reported interannotator agreement scores. This was also the case for speculation markers in the consumer review corpus, while detection of negation markers was unsuccessful in this genre. Also a setup in which models were trained on markers in consumer reviews, and applied on the clinical text genre, yielded low results. This shows that neither the trained models, nor the choice of appropriate machine learning algorithms and features, were transferable across the two text genres.

Place, publisher, year, edition, pages
CEUR-WS.org , 2016. Vol. 1650, 64-69 p.
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1650
Keyword [en]
marker words, health records, consumer reviews, corpus, machine learning, natural language processing
National Category
Language Technology (Computational Linguistics)
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-55120OAI: oai:DiVA.org:lnu-55120DiVA: diva2:950900
Conference
7th International Symposium on Semantic Mining in Biomedicine (SMBM '16), Potsdam, Germany, August 4-5, 2016
Projects
StaViCTA
Funder
Swedish Research Council, 2012-5659
Available from: 2016-08-03 Created: 2016-08-03 Last updated: 2017-04-19Bibliographically approved

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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