KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning-Reference-Cited by-同舟云学术

KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning

Published:2019 Issue: Volume: Page:115-126
ISSN:0302-9743
Container-title:Text, Speech, and Dialogue
language:
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Author:

Ljubešić Nikola^ORCID,Fišer Darja^ORCID,Erjavec Tomaž^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-27947-9_10

Reference16 articles.

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2. Bernier-Colborne, G., Drouin, P.: Creating a test corpus for term extractors through term annotation. Terminology 20, 50–73 (2014)

3. Conrado, M., Pardo, T., Rezende, S.: A machine learning approach to automatic term extraction using a rich feature set. In: Proceedings of the 2013 NAACL HLT Student Research Workshop, pp. 16–23 (2013)

4. Erjavec, T., Fišer, D., Ljubešić, N., Logar, N., Ojsteršek, M.: Slovenska znanstvena besedila: prototipni korpus in načrt analiz, Slovene scientific texts: prototype corpus and research plan. In: Proceedings of the Conference on Language Technologies and Digital Humanities. Ljubljana University Press (2016)

5. Erjavec, T., et al.: Terminology identification dataset KAS-term 1.0, slovenian language resource repository CLARIN.SI (2018). http://hdl.handle.net/11356/1198

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