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Machine Learning for Rhetorical Figure Detection: More Chiasmus with Less Annotation
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Computational Linguistics)
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Computational Linguistics)
2017 (English)In: Proceedings of the 21st Nordic Conference of Computational Linguistics, Gothenburg, Sweden, 2017, 37-45 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Gothenburg, Sweden, 2017. 37-45 p.
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-333324OAI: oai:DiVA.org:uu-333324DiVA: diva2:1156203
Conference
21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden
Available from: 2017-11-10 Created: 2017-11-10 Last updated: 2017-11-10

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http://aclweb.org/anthology/W17-0205

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Marie, DubremetzJoakim, Nivre
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
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