Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough?

Ana Roșu; Jany-Gabriel Ispas; Sergiu Nisioi

doi:10.18653/v1/2025.bea-1.98

Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough?

Ana Roșu, Jany-Gabriel Ispas, Sergiu Nisioi

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Abstract

This paper describes our approach for 5 classification tasks from Building Educational Applications (BEA) 2025 Shared Task.Our methods range from classical machine learning models to large-scale transformers with fine-tuning and prompting strategies. Despite the diversity of approaches, performance differences were often minor, suggesting a strong surface-level signal and the limiting effect of annotation noise—particularly around the “To some extent” label. Under lenient evaluation, simple models perform competitively, showing their effectiveness in low-resource settings. Our submissions ranked in the top 10 in four of five tracks.

Anthology ID:: 2025.bea-1.98
Volume:: Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
Month:: July
Year:: 2025
Address:: Vienna, Austria
Editors:: Ekaterina Kochmar, Bashar Alhafni, Marie Bexte, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Anaïs Tack, Victoria Yaneva, Zheng Yuan
Venues:: BEA | WS
SIG:: SIGEDU
Publisher:: Association for Computational Linguistics
Note:
Pages:: 1224–1241
Language:
URL:: https://aclanthology.org/2025.bea-1.98/
DOI:: 10.18653/v1/2025.bea-1.98
Bibkey:
Cite (ACL):: Ana Roșu, Jany-Gabriel Ispas, and Sergiu Nisioi. 2025. Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough?. In Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025), pages 1224–1241, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):: Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough? (Roșu et al., BEA 2025)
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PDF:: https://aclanthology.org/2025.bea-1.98.pdf

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@inproceedings{rosu-etal-2025-archaeology,
    title = "Archaeology at {BEA} 2025 Shared Task: Are Simple Baselines Good Enough?",
    author = "Roșu, Ana  and
      Ispas, Jany-Gabriel  and
      Nisioi, Sergiu",
    editor = {Kochmar, Ekaterina  and
      Alhafni, Bashar  and
      Bexte, Marie  and
      Burstein, Jill  and
      Horbach, Andrea  and
      Laarmann-Quante, Ronja  and
      Tack, Ana{\"i}s  and
      Yaneva, Victoria  and
      Yuan, Zheng},
    booktitle = "Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.bea-1.98/",
    doi = "10.18653/v1/2025.bea-1.98",
    pages = "1224--1241",
    ISBN = "979-8-89176-270-1",
    abstract = "This paper describes our approach for 5 classification tasks from Building Educational Applications (BEA) 2025 Shared Task.Our methods range from classical machine learning models to large-scale transformers with fine-tuning and prompting strategies. Despite the diversity of approaches, performance differences were often minor, suggesting a strong surface-level signal and the limiting effect of annotation noise{---}particularly around the ``To some extent'' label. Under lenient evaluation, simple models perform competitively, showing their effectiveness in low-resource settings. Our submissions ranked in the top 10 in four of five tracks."
}

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%0 Conference Proceedings
%T Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough?
%A Roșu, Ana
%A Ispas, Jany-Gabriel
%A Nisioi, Sergiu
%Y Kochmar, Ekaterina
%Y Alhafni, Bashar
%Y Bexte, Marie
%Y Burstein, Jill
%Y Horbach, Andrea
%Y Laarmann-Quante, Ronja
%Y Tack, Anaïs
%Y Yaneva, Victoria
%Y Yuan, Zheng
%S Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-270-1
%F rosu-etal-2025-archaeology
%X This paper describes our approach for 5 classification tasks from Building Educational Applications (BEA) 2025 Shared Task.Our methods range from classical machine learning models to large-scale transformers with fine-tuning and prompting strategies. Despite the diversity of approaches, performance differences were often minor, suggesting a strong surface-level signal and the limiting effect of annotation noise—particularly around the “To some extent” label. Under lenient evaluation, simple models perform competitively, showing their effectiveness in low-resource settings. Our submissions ranked in the top 10 in four of five tracks.
%R 10.18653/v1/2025.bea-1.98
%U https://aclanthology.org/2025.bea-1.98/
%U https://doi.org/10.18653/v1/2025.bea-1.98
%P 1224-1241

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Markdown (Informal)

[Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough?](https://aclanthology.org/2025.bea-1.98/) (Roșu et al., BEA 2025)

Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough? (Roșu et al., BEA 2025)

ACL

Ana Roșu, Jany-Gabriel Ispas, and Sergiu Nisioi. 2025. Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough?. In Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025), pages 1224–1241, Vienna, Austria. Association for Computational Linguistics.