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Automatic Extraction of Synonyms from an Easy-to-Read Corpus
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (NLPLAB)
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (NLPLAB)ORCID iD: 0000-0002-0932-7048
2016 (English)In: Proceedings of the Sixth Swedish Language Technology Conference, 2016Conference paper, Oral presentation only (Refereed)
Abstract [en]

This paper presents two novel methods aimed at extracting comprehensible synonyms to regular words, as a step towards automatic text simplification. The methods are inspired by previous work on synonym extraction and make use of bilingual dictionaries, as well as distributional semantic similarity between words. Human layman knowledge was used to evaluate the synonym candidates extracted by the methods, which proved to be perceived as synonymous to a high degree. Both methods showed promising results and qualities, and have potential to be used to further improve automatic text simplification.

Place, publisher, year, edition, pages
2016.
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:liu:diva-141551OAI: oai:DiVA.org:liu-141551DiVA: diva2:1145552
Conference
SLTC
Available from: 2017-09-29 Created: 2017-09-29 Last updated: 2017-09-29

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Rennes, Evelina
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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