Typology Guided Multilingual Position Representations: Case on 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%3AF93JMJU2" target="_blank" >RIV/00216208:11320/23:F93JMJU2 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175494397&partnerID=40&md5=b9e9f5cd8b41dfa45422e5b6af6a8f13" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175494397&partnerID=40&md5=b9e9f5cd8b41dfa45422e5b6af6a8f13</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Typology Guided Multilingual Position Representations: Case on Dependency Parsing
Original language description
"Recent multilingual models benefit from strong unified semantic representation models. However, due to conflict linguistic regularities, ignoring language-specific features during multilingual learning may suffer from negative transfer. In this work, we analyze the relation between a language's position space and its typological characterization, and suggest deploying different position spaces for different languages. We develop a position generation network which combines prior knowledge from typology features and existing position vectors. Experiments on the multilingual dependency parsing task show that the learned position vectors exhibit meaningful hidden structures, and they can help achieving the best multilingual parsing results. © 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
"Proc. Annu. Meet. Assoc. Comput Linguist."
ISBN
978-195942962-3
ISSN
0736-587X
e-ISSN
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Number of pages
18
Pages from-to
13524-13541
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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