Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AFY3G5D4C" target="_blank" >RIV/00216208:11320/23:FY3G5D4C - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159849671&partnerID=40&md5=fd09401a6cacff78c66d6d9fb4edebe8" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159849671&partnerID=40&md5=fd09401a6cacff78c66d6d9fb4edebe8</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing

Popis výsledku v původním jazyce

"In this work, we focus on low-resource dependency parsing for multiple languages. Several strategies are tailored to enhance performance in low-resource scenarios. While these are well-known to the community, it is not trivial to select the best-performing combination of these strategies for a low-resource language that we are interested in, and not much attention has been given to measuring the efficacy of these strategies. We experiment with 5 low-resource strategies for our ensembled approach on 7 Universal Dependency (UD) low-resource languages. Our exhaustive experimentation on these languages supports the effective improvements for languages not covered in pretrained models. We show a successful application of the ensembled system on a truly low-resource language Sanskrit. © 2023 Association for Computational Linguistics."

Název v anglickém jazyce

Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing

Popis výsledku anglicky

"In this work, we focus on low-resource dependency parsing for multiple languages. Several strategies are tailored to enhance performance in low-resource scenarios. While these are well-known to the community, it is not trivial to select the best-performing combination of these strategies for a low-resource language that we are interested in, and not much attention has been given to measuring the efficacy of these strategies. We experiment with 5 low-resource strategies for our ensembled approach on 7 Universal Dependency (UD) low-resource languages. Our exhaustive experimentation on these languages supports the effective improvements for languages not covered in pretrained models. We show a successful application of the ensembled system on a truly low-resource language Sanskrit. © 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. Conf."

ISBN

978-195942944-9

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

2156-2163

Název nakladatele

Association for Computational Linguistics (ACL)

Místo vydání

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Místo konání akce

Cham

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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