BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AAQKV4XT9" target="_blank" >RIV/00216208:11320/22:AQKV4XT9 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2022.naacl-main.130" target="_blank" >https://aclanthology.org/2022.naacl-main.130</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2022.naacl-main.130" target="_blank" >10.18653/v1/2022.naacl-main.130</a>
Alternative languages
Result language
angličtina
Original language name
BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer
Original language description
Adapter modules enable modular and efficient zero-shot cross-lingual transfer, where current state-of-the-art adapter-based approaches learn specialized language adapters (LAs) for individual languages. In this work, we show that it is more effective to learn bilingual language pair adapters (BAs) when the goal is to optimize performance for a particular source-target transfer direction. Our novel BAD-X adapter framework trades off some modularity of dedicated LAs for improved transfer performance: we demonstrate consistent gains in three standard downstream tasks, and for the majority of evaluated low-resource languages.
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
ISBN
978-1-955917-71-1
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
1791-1799
Publisher name
Association for Computational Linguistics
Place of publication
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Event location
Seattle, United States
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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