On learning and representing social meaning in NLP: a sociolinguistic perspective

Dong Nguyen; Laura Rosseel; Jack Grieve

doi:10.18653/v1/2021.naacl-main.50

On learning and representing social meaning in NLP: a sociolinguistic perspective

Dong Nguyen, Laura Rosseel, Jack Grieve

Linguistiek en Literatuurstudie

Onderzoeksoutput: Conference paper

22 Citaten (Scopus)

106 Downloads (Pure)

Samenvatting

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.

Originele taal-2	English
Titel	Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Redacteuren	Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tur, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou
Uitgeverij	Association for Computational Linguistics
Pagina's	603-612
Aantal pagina's	10
ISBN van geprinte versie	9781713830139
DOI's	https://doi.org/10.18653/v1/2021.naacl-main.50
Status	Published - 2021
Evenement	2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics - Online Duur: 6 jun 2021 → 11 jun 2021 Congresnummer: 2021 https://2021.naacl.org/

Conference

Conference	2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Verkorte titel	NAACL
Periode	6/06/21 → 11/06/21
Internet adres	https://2021.naacl.org/

Bibliografische nota

Funding Information:
This work is part of the research programme Veni with project number VI.Veni.192.130, which is (partly) financed by the Dutch Research Council (NWO). We also like to thank Kees van Deemter for useful feedback.

Publisher Copyright:
© 2021 Association for Computational Linguistics.

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

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10.18653/v1/2021.naacl-main.50

Nguyen_Rosseel_&_Grieve_2021_NAACLFinal published version, 266 KB

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On learning and representing social meaning in NLP: a sociolinguistic perspective
Dong Nguyen (Speaker), Laura Rosseel (Speaker) & Jack Grieve (Speaker)
7 jun 2021
Activiteit: Talk or presentation at a conference

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Nguyen, D., Rosseel, L., & Grieve, J. (2021). On learning and representing social meaning in NLP: a sociolinguistic perspective. In K. Toutanova, A. Rumshisky, L. Zettlemoyer, D. Hakkani-Tur, I. Beltagy, S. Bethard, R. Cotterell, T. Chakraborty, & Y. Zhou (editors), Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (blz. 603-612). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.50

Nguyen, Dong ; Rosseel, Laura ; Grieve, Jack. / On learning and representing social meaning in NLP: a sociolinguistic perspective. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. redacteur / Kristina Toutanova ; Anna Rumshisky ; Luke Zettlemoyer ; Dilek Hakkani-Tur ; Iz Beltagy ; Steven Bethard ; Ryan Cotterell ; Tanmoy Chakraborty ; Yichao Zhou. Association for Computational Linguistics, 2021. blz. 603-612

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title = "On learning and representing social meaning in NLP: a sociolinguistic perspective",

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.",

keywords = "NLP, social meaning, word embeddings, natural language processing, language variation, spelling variation",

author = "Dong Nguyen and Laura Rosseel and Jack Grieve",

note = "Funding Information: This work is part of the research programme Veni with project number VI.Veni.192.130, which is (partly) financed by the Dutch Research Council (NWO). We also like to thank Kees van Deemter for useful feedback. Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL ; Conference date: 06-06-2021 Through 11-06-2021",

year = "2021",

doi = "10.18653/v1/2021.naacl-main.50",

language = "English",

isbn = "9781713830139",

pages = "603--612",

editor = "Kristina Toutanova and Rumshisky, {Anna } and Luke Zettlemoyer and Hakkani-Tur, {Dilek } and Beltagy, {Iz } and Bethard, {Steven } and Cotterell, {Ryan } and Chakraborty, {Tanmoy } and Yichao Zhou",

booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",

publisher = "Association for Computational Linguistics",

url = "https://2021.naacl.org/",

}

Nguyen, D, Rosseel, L & Grieve, J 2021, On learning and representing social meaning in NLP: a sociolinguistic perspective. in K Toutanova, A Rumshisky, L Zettlemoyer, D Hakkani-Tur, I Beltagy, S Bethard, R Cotterell, T Chakraborty & Y Zhou (redactie), Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, blz. 603-612, 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 6/06/21. https://doi.org/10.18653/v1/2021.naacl-main.50

On learning and representing social meaning in NLP: a sociolinguistic perspective. / Nguyen, Dong; Rosseel, Laura; Grieve, Jack.

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. redactie / Kristina Toutanova; Anna Rumshisky; Luke Zettlemoyer; Dilek Hakkani-Tur; Iz Beltagy; Steven Bethard; Ryan Cotterell; Tanmoy Chakraborty; Yichao Zhou. Association for Computational Linguistics, 2021. blz. 603-612.

Onderzoeksoutput: Conference paper

TY - GEN

T1 - On learning and representing social meaning in NLP: a sociolinguistic perspective

AU - Nguyen, Dong

AU - Rosseel, Laura

AU - Grieve, Jack

N1 - Conference code: 2021

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - NLP

KW - social meaning

KW - word embeddings

KW - natural language processing

KW - language variation

KW - spelling variation

UR - https://www.aclweb.org/anthology/2021.naacl-main.50/

UR - http://www.scopus.com/inward/record.url?scp=85110981562&partnerID=8YFLogxK

U2 - 10.18653/v1/2021.naacl-main.50

DO - 10.18653/v1/2021.naacl-main.50

M3 - Conference paper

SN - 9781713830139

SP - 603

EP - 612

BT - Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

A2 - Toutanova, Kristina

A2 - Rumshisky, Anna

A2 - Zettlemoyer, Luke

A2 - Hakkani-Tur, Dilek

A2 - Beltagy, Iz

A2 - Bethard, Steven

A2 - Cotterell, Ryan

A2 - Chakraborty, Tanmoy

A2 - Zhou, Yichao

PB - Association for Computational Linguistics

T2 - 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Y2 - 6 June 2021 through 11 June 2021

ER -

Nguyen D, Rosseel L, Grieve J. On learning and representing social meaning in NLP: a sociolinguistic perspective. In Toutanova K, Rumshisky A, Zettlemoyer L, Hakkani-Tur D, Beltagy I, Bethard S, Cotterell R, Chakraborty T, Zhou Y, redacteurs, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. 2021. blz. 603-612 https://doi.org/10.18653/v1/2021.naacl-main.50

On learning and representing social meaning in NLP: a sociolinguistic perspective

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On learning and representing social meaning in NLP: a sociolinguistic perspective

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