Challenges and Strategies in Cross-Cultural NLP

Daniel Hershcovich*, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

66 Citationer (Scopus)
42 Downloads (Pure)

Abstract

Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages. However, it is important to acknowledge that speakers and the content they produce and require, vary not just by language, but also by culture. Although language and culture are tightly linked, there are important differences. Analogous to cross-lingual and multilingual NLP, cross-cultural and multicultural NLP considers these differences in order to better serve users of NLP systems. We propose a principled framework to frame these efforts, and survey existing and potential strategies.

OriginalsprogEngelsk
TitelACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)
RedaktørerSmaranda Muresan, Preslav Nakov, Aline Villavicencio
Vol/bind1
ForlagAssociation for Computational Linguistics (ACL)
Publikationsdato2022
Sider6997-7013
ISBN (Elektronisk)9781955917216
DOI
StatusUdgivet - 2022
Begivenhed60th Annual Meeting of the Association for Computational Linguistics, ACL 2022 - Dublin, Irland
Varighed: 22 maj 202227 maj 2022

Konference

Konference60th Annual Meeting of the Association for Computational Linguistics, ACL 2022
Land/OmrådeIrland
ByDublin
Periode22/05/202227/05/2022
SponsorAmazon Science, Bloomberg Engineering, et al., Google Research, Liveperson, Meta

Bibliografisk note

Publisher Copyright:
© 2022 Association for Computational Linguistics.

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