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Zero-shot cross-lingual identification of direct speech using distant supervision
Stockholm University, Faculty of Humanities, Department of Linguistics.ORCID iD: 0000-0002-7020-8275
Stockholm University, Faculty of Humanities, Department of Linguistics.ORCID iD: 0000-0003-4040-3544
2020 (English)In: The 4th Joint SIGHUM Workshopon Computational Linguistics for Cultural Heritage,Social Sciences, Humanities and Literature: Co-located with the 28th International Conferenceon Computational Linguistics COLING’2020, 2020, p. 105-111Conference paper, Published paper (Refereed)
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2020. p. 105-111
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Natural Language Processing
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URN: urn:nbn:se:su:diva-189701ISBN: 978-1-952148-34-7 (print)OAI: oai:DiVA.org:su-189701DiVA, id: diva2:1524073
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Proceedings of LaTeCH-CLfL 2020, Barcelona, Spain (Online), December 12, 2020
Available from: 2021-01-31 Created: 2021-01-31 Last updated: 2025-02-07Bibliographically approved

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fulltext(153 kB)225 downloads
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86262c20da2ef368f64acbd8b07e84835230b1fb127ae32135f136dbbcb163ef2d7a7a5655bae198e37c1c7b8276e5167488e502cf85b4dc48f51db6b3dbaba8
Type fulltextMimetype application/pdf

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Kurfali, MurathanWirén, Mats

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Total: 226 downloads
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
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