Romanian Multiword Expression Detection Using Multilingual Adversarial Training and Lateral Inhibition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ANJN76SBY" target="_blank" >RIV/00216208:11320/23:NJN76SBY - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161461930&partnerID=40&md5=e9d60a8caf5041520b5966a5dbebdf2c" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161461930&partnerID=40&md5=e9d60a8caf5041520b5966a5dbebdf2c</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Romanian Multiword Expression Detection Using Multilingual Adversarial Training and Lateral Inhibition
Original language description
"Multiword expressions are a key ingredient for developing large-scale and linguistically sound natural language processing technology. This paper describes our improvements in automatically identifying Romanian multiword expressions on the corpus released for the PARSEME v1.2 shared task. Our approach assumes a multilingual perspective based on the recently introduced lateral inhibition layer and adversarial training to boost the performance of the employed multilingual language models. With the help of these two methods, we improve the F1-score of XLM-RoBERTa by approximately 2.7% on unseen multiword expressions, the main task of the PARSEME 1.2 edition. In addition, our results can be considered SOTA performance, as they outperform the previous results on Romanian obtained by the participants in this competition. © 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
"Workshop Multiword Expressions, MWE - Proc."
ISBN
978-195942959-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
7-13
Publisher name
Association for Computational Linguistics
Place of publication
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Event location
Melaka, Malaysia
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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