Project-then-transfer: Effective two-stage cross-lingual transfer for semantic dependency parsing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441751" target="_blank" >RIV/00216208:11320/21:10441751 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Project-then-transfer: Effective two-stage cross-lingual transfer for semantic dependency parsing
Original language description
This paper describes the first report on crosslingual transfer for semantic dependency parsing. We present the insight that there are two different kinds of cross-linguality, namely surface level and semantic level, and try to capture both kinds of cross-linguality by combining annotation projection and model transfer of pre-trained language models. Our experiments showed that the performance of our graph-based semantic dependency parser almost achieved the approximated upper bound.
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
2021
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 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
ISBN
978-1-954085-02-2
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
2586-2594
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg
Event location
online
Event date
Apr 19, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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