TermoUD — a language-independent terminology extraction tool
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AEM5VFV6W" target="_blank" >RIV/00216208:11320/23:EM5VFV6W - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159861042&partnerID=40&md5=67a7598d0b6ba31dbdfc96088966fdc3" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159861042&partnerID=40&md5=67a7598d0b6ba31dbdfc96088966fdc3</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
TermoUD — a language-independent terminology extraction tool
Original language description
"The paper addresses TermoUD — a language-independent terminology extraction tool. Its previous version, i.e. TermoPL (Marciniak et al., 2016; Rychlik et al., 2022), uses language dependent shallow grammar which selects candidate terms. The goal behind the development of TermoUD is to make the procedure as universal as possible, while taking care of the linguistic correctness of selected phrases. The tool is suitable for languages for which the Universal Dependencies (UD) parser exists. We describe a method of candidate term extraction based on UD POS tags and UD relations. The candidate ranking is performed by the C-value metric (contexts counting is adapted to the UD formalism), which doesn’t need any additional language resources. The performance of the tool has been tested on texts in English, French, Dutch, and Slovenian. The results are evaluated on the manually annotated datasets: ACTER, RD-TEC 2.0, GENIA and RSDO5, and compared to those obtained by other tools. © 2023 Association for Computational Linguistics."
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"EACL - Conf. Eur. Chapter Assoc. Comput. Linguist., Proc. Syst. Demonstr."
ISBN
978-195942945-6
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
178-186
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Dubrovnik
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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