@inproceedings{nguyen-etal-2021-learning,
title = "On learning and representing social meaning in {NLP}: a sociolinguistic perspective",
author = "Nguyen, Dong and
Rosseel, Laura and
Grieve, Jack",
editor = "Toutanova, Kristina and
Rumshisky, Anna and
Zettlemoyer, Luke and
Hakkani-Tur, Dilek and
Beltagy, Iz and
Bethard, Steven and
Cotterell, Ryan and
Chakraborty, Tanmoy and
Zhou, Yichao",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.naacl-main.50",
doi = "10.18653/v1/2021.naacl-main.50",
pages = "603--612",
abstract = "The field of NLP has made substantial progress in building meaning representations. However, an important aspect of linguistic meaning, social meaning, has been largely overlooked. We introduce the concept of social meaning to NLP and discuss how insights from sociolinguistics can inform work on representation learning in NLP. We also identify key challenges for this new line of research.",
}
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%0 Conference Proceedings
%T On learning and representing social meaning in NLP: a sociolinguistic perspective
%A Nguyen, Dong
%A Rosseel, Laura
%A Grieve, Jack
%Y Toutanova, Kristina
%Y Rumshisky, Anna
%Y Zettlemoyer, Luke
%Y Hakkani-Tur, Dilek
%Y Beltagy, Iz
%Y Bethard, Steven
%Y Cotterell, Ryan
%Y Chakraborty, Tanmoy
%Y Zhou, Yichao
%S Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F nguyen-etal-2021-learning
%X The field of NLP has made substantial progress in building meaning representations. However, an important aspect of linguistic meaning, social meaning, has been largely overlooked. We introduce the concept of social meaning to NLP and discuss how insights from sociolinguistics can inform work on representation learning in NLP. We also identify key challenges for this new line of research.
%R 10.18653/v1/2021.naacl-main.50
%U https://aclanthology.org/2021.naacl-main.50
%U https://doi.org/10.18653/v1/2021.naacl-main.50
%P 603-612
Markdown (Informal)
[On learning and representing social meaning in NLP: a sociolinguistic perspective](https://aclanthology.org/2021.naacl-main.50) (Nguyen et al., NAACL 2021)
ACL