Abstract

Arabic-language stance detection remains challenging, and previous shared-task systems have largely relied on multitask learning and ensembles. While these systems achieve state-of-the-art performance, their applicability and transferability are limited by the additional complexity introduced by multitask learning.To reduce this complexity, we introduce $\texttt{CLASP-Ar}$, which reformulates the task as cloze-style masked language modeling. In this approach, the target, predicted sentiment, and text are combined into a single prompt whose $\texttt{[MASK]}$ prediction is restricted to a verbalizer-constrained label vocabulary.

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Cite this article

APA 7

Verma, B., Abusaleh, A., & Mehler, A. (2026). TTLab at StanceEval-2026: A Cloze-Style Prompting Approach for Arabic-Language Stance Detection (CLASP-Ar). https://omanscience.com/en/articles/ttlab-at-stanceeval-2026-a-cloze-style-prompting-approach-for-arabic-language-stance-detection-clasp-ar

MLA 9

Verma, Bhuvanesh, et al. "TTLab at StanceEval-2026: A Cloze-Style Prompting Approach for Arabic-Language Stance Detection (CLASP-Ar)." https://omanscience.com/en/articles/ttlab-at-stanceeval-2026-a-cloze-style-prompting-approach-for-arabic-language-stance-detection-clasp-ar.

Chicago (author–date)

Verma, Bhuvanesh, Ali Abusaleh, and Alexander Mehler. 2026. "TTLab at StanceEval-2026: A Cloze-Style Prompting Approach for Arabic-Language Stance Detection (CLASP-Ar)." https://omanscience.com/en/articles/ttlab-at-stanceeval-2026-a-cloze-style-prompting-approach-for-arabic-language-stance-detection-clasp-ar.

Harvard

Verma, B., Abusaleh, A. and Mehler, A. (2026) 'TTLab at StanceEval-2026: A Cloze-Style Prompting Approach for Arabic-Language Stance Detection (CLASP-Ar)', Available at: https://omanscience.com/en/articles/ttlab-at-stanceeval-2026-a-cloze-style-prompting-approach-for-arabic-language-stance-detection-clasp-ar.

Vancouver

Verma B, Abusaleh A, Mehler A. TTLab at StanceEval-2026: A Cloze-Style Prompting Approach for Arabic-Language Stance Detection (CLASP-Ar). https://omanscience.com/en/articles/ttlab-at-stanceeval-2026-a-cloze-style-prompting-approach-for-arabic-language-stance-detection-clasp-ar

IEEE

B. Verma, A. Abusaleh, and A. Mehler, "TTLab at StanceEval-2026: A Cloze-Style Prompting Approach for Arabic-Language Stance Detection (CLASP-Ar)," https://omanscience.com/en/articles/ttlab-at-stanceeval-2026-a-cloze-style-prompting-approach-for-arabic-language-stance-detection-clasp-ar.