McMaster at LeWiDi-2025: Demographic-Aware RoBERTa

Mandira Sawkar; Samay U. Shetty; Deepak Pandita; Tharindu Cyril Weerasooriya; Christopher M. Homan

McMaster at LeWiDi-2025: Demographic-Aware RoBERTa

Mandira Sawkar, Samay U. Shetty, Deepak Pandita, Tharindu Cyril Weerasooriya, Christopher M. Homan

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Abstract

We present our submission to the Learning With Disagreements (LeWiDi) 2025 shared task. Our team implemented a variety of BERT-based models that encode annotator meta-data in combination with text to predict soft-label distributions and individual annotator labels. We show across four tasks that a combination of demographic factors leads to improved performance, however through ablations across all demographic variables we find that in some cases, a single variable performs best. Our approach placed 4th in the overall competition.

Anthology ID:: 2025.nlperspectives-1.18
Volume:: Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP
Month:: November
Year:: 2025
Address:: Suzhou, China
Editors:: Gavin Abercrombie, Valerio Basile, Simona Frenda, Sara Tonelli, Shiran Dudy
Venues:: NLPerspectives | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 208–218
Language:
URL:: https://aclanthology.org/2025.nlperspectives-1.18/
DOI:
Bibkey:
Cite (ACL):: Mandira Sawkar, Samay U. Shetty, Deepak Pandita, Tharindu Cyril Weerasooriya, and Christopher M. Homan. 2025. McMaster at LeWiDi-2025: Demographic-Aware RoBERTa. In Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, pages 208–218, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: McMaster at LeWiDi-2025: Demographic-Aware RoBERTa (Sawkar et al., NLPerspectives 2025)
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PDF:: https://aclanthology.org/2025.nlperspectives-1.18.pdf

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@inproceedings{sawkar-etal-2025-mcmaster,
    title = "{M}c{M}aster at {L}e{W}i{D}i-2025: Demographic-Aware {R}o{BERT}a",
    author = "Sawkar, Mandira  and
      Shetty, Samay U.  and
      Pandita, Deepak  and
      Weerasooriya, Tharindu Cyril  and
      Homan, Christopher M.",
    editor = "Abercrombie, Gavin  and
      Basile, Valerio  and
      Frenda, Simona  and
      Tonelli, Sara  and
      Dudy, Shiran",
    booktitle = "Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.nlperspectives-1.18/",
    pages = "208--218",
    ISBN = "979-8-89176-350-0",
    abstract = "We present our submission to the Learning With Disagreements (LeWiDi) 2025 shared task. Our team implemented a variety of BERT-based models that encode annotator meta-data in combination with text to predict soft-label distributions and individual annotator labels. We show across four tasks that a combination of demographic factors leads to improved performance, however through ablations across all demographic variables we find that in some cases, a single variable performs best. Our approach placed 4th in the overall competition."
}

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%0 Conference Proceedings
%T McMaster at LeWiDi-2025: Demographic-Aware RoBERTa
%A Sawkar, Mandira
%A Shetty, Samay U.
%A Pandita, Deepak
%A Weerasooriya, Tharindu Cyril
%A Homan, Christopher M.
%Y Abercrombie, Gavin
%Y Basile, Valerio
%Y Frenda, Simona
%Y Tonelli, Sara
%Y Dudy, Shiran
%S Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-350-0
%F sawkar-etal-2025-mcmaster
%X We present our submission to the Learning With Disagreements (LeWiDi) 2025 shared task. Our team implemented a variety of BERT-based models that encode annotator meta-data in combination with text to predict soft-label distributions and individual annotator labels. We show across four tasks that a combination of demographic factors leads to improved performance, however through ablations across all demographic variables we find that in some cases, a single variable performs best. Our approach placed 4th in the overall competition.
%U https://aclanthology.org/2025.nlperspectives-1.18/
%P 208-218

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Markdown (Informal)

[McMaster at LeWiDi-2025: Demographic-Aware RoBERTa](https://aclanthology.org/2025.nlperspectives-1.18/) (Sawkar et al., NLPerspectives 2025)

McMaster at LeWiDi-2025: Demographic-Aware RoBERTa (Sawkar et al., NLPerspectives 2025)

ACL

Mandira Sawkar, Samay U. Shetty, Deepak Pandita, Tharindu Cyril Weerasooriya, and Christopher M. Homan. 2025. McMaster at LeWiDi-2025: Demographic-Aware RoBERTa. In Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, pages 208–218, Suzhou, China. Association for Computational Linguistics.