TermoUD — a language-independent terminology extraction tool

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

TermoUD — a language-independent terminology extraction tool

Popis výsledku v původním jazyce

"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."

Název v anglickém jazyce

TermoUD — a language-independent terminology extraction tool

Popis výsledku anglicky

"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."

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

"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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Počet stran výsledku

9

Strana od-do

178-186

Název nakladatele

Association for Computational Linguistics (ACL)

Místo vydání

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Místo konání akce

Dubrovnik

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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