IReLIIT(BHU) at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization

Soumadip Majumder; Arjun Mukherjee; Krishna Tewari; Sanjaya Lenka; Sukomal Pal

IReLIIT(BHU) at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization

Soumadip Majumder, Arjun Mukherjee, Krishna Tewari, Sanjaya Lenka, Sukomal Pal

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Abstract

This paper presents the IReLIIT(BHU) submission to SemEval-2026 Task 9 for the Chinese language track. We participated in all three subtasks: binary polarization detection,multi-label polarization type classification, and multi-label manifestation identification. Our approach is based on a unified transformer based framework with cross-validation, prediction aggregation, and threshold optimization to improve robustness across tasks. On the official evaluation, our systems achieved Macro-F1 scores of 0.9081, 0.7962, and 0.6484 for Subtasks 1, 2, and 3, respectively on test data.

Anthology ID:: 2026.semeval-1.297
Volume:: Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
Month:: July
Year:: 2026
Address:: San Diego, California, USA
Editors:: Ekaterina Kochmar, Debanjan Ghosh, Kai North, Mamoru Komachi
Venues:: SemEval | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 2354–2358
Language:
URL:: https://aclanthology.org/2026.semeval-1.297/
DOI:
Bibkey:
Cite (ACL):: Soumadip Majumder, Arjun Mukherjee, Krishna Tewari, Sanjaya Lenka, and Sukomal Pal. 2026. IReLIIT(BHU) at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization. In Proceedings of the 20th International Workshop on Semantic Evaluation (2026), pages 2354–2358, San Diego, California, USA. Association for Computational Linguistics.
Cite (Informal):: IReLIIT(BHU) at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization (Majumder et al., SemEval 2026)
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PDF:: https://aclanthology.org/2026.semeval-1.297.pdf

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@inproceedings{majumder-etal-2026-ireliit,
    title = "{IR}e{LIIT}({BHU}) at {S}em{E}val-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization",
    author = "Majumder, Soumadip  and
      Mukherjee, Arjun  and
      Tewari, Krishna  and
      Lenka, Sanjaya  and
      Pal, Sukomal",
    editor = "Kochmar, Ekaterina  and
      Ghosh, Debanjan  and
      North, Kai  and
      Komachi, Mamoru",
    booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.semeval-1.297/",
    pages = "2354--2358",
    ISBN = "979-8-89176-414-9",
    abstract = "This paper presents the IReLIIT(BHU) submission to SemEval-2026 Task 9 for the Chinese language track. We participated in all three subtasks: binary polarization detection,multi-label polarization type classification, and multi-label manifestation identification. Our approach is based on a unified transformer based framework with cross-validation, prediction aggregation, and threshold optimization to improve robustness across tasks. On the official evaluation, our systems achieved Macro-F1 scores of 0.9081, 0.7962, and 0.6484 for Subtasks 1, 2, and 3, respectively on test data."
}

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%0 Conference Proceedings
%T IReLIIT(BHU) at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization
%A Majumder, Soumadip
%A Mukherjee, Arjun
%A Tewari, Krishna
%A Lenka, Sanjaya
%A Pal, Sukomal
%Y Kochmar, Ekaterina
%Y Ghosh, Debanjan
%Y North, Kai
%Y Komachi, Mamoru
%S Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-414-9
%F majumder-etal-2026-ireliit
%X This paper presents the IReLIIT(BHU) submission to SemEval-2026 Task 9 for the Chinese language track. We participated in all three subtasks: binary polarization detection,multi-label polarization type classification, and multi-label manifestation identification. Our approach is based on a unified transformer based framework with cross-validation, prediction aggregation, and threshold optimization to improve robustness across tasks. On the official evaluation, our systems achieved Macro-F1 scores of 0.9081, 0.7962, and 0.6484 for Subtasks 1, 2, and 3, respectively on test data.
%U https://aclanthology.org/2026.semeval-1.297/
%P 2354-2358

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Markdown (Informal)

[IReLIIT(BHU) at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization](https://aclanthology.org/2026.semeval-1.297/) (Majumder et al., SemEval 2026)

IReLIIT(BHU) at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization (Majumder et al., SemEval 2026)

ACL

Soumadip Majumder, Arjun Mukherjee, Krishna Tewari, Sanjaya Lenka, and Sukomal Pal. 2026. IReLIIT(BHU) at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization. In Proceedings of the 20th International Workshop on Semantic Evaluation (2026), pages 2354–2358, San Diego, California, USA. Association for Computational Linguistics.