Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing
Original language description
"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."
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. Conf."
ISBN
978-195942944-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
2156-2163
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Cham
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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