Assessing language models’ task and language transfer capabilities for sentiment analysis in dialog data-Reference-Cited by-同舟云学术

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Assessing language models’ task and language transfer capabilities for sentiment analysis in dialog data

Published:2025-01 Issue: Volume:89 Page:101704
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Negru Vlad-Andrei,Suciu Vasile,Lăpuşan Alex-Mihai,Lemnaru Camelia,Dînşoreanu Mihaela,Potolea Rodica

Funder

Romanian Government Ministry of Research Innovation and Digitization

Ministry of Education and Research, Romania

Publisher

Elsevier BV

Reference26 articles.

1. XLM-T: Multilingual language models in Twitter for sentiment analysis and beyond;Barbieri,2022

2. Enriching word vectors with subword information;Bojanowski;Trans. Assoc. Comput. Linguist.,2017

3. IEMOCAP: interactive emotional dyadic motion capture database;Busso;Lang. Resour. Eval.,2008

4. Unsupervised cross-lingual representation learning at scale;Conneau,2020

5. Automated hate speech detection and the problem of offensive language;Davidson,2017

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