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    <abstract>This work-in-progress study examines whether sentence embeddings can flag item pairs at risk for local dependence in multidimensional IRT. Using a 50-item personality inventory, preliminary analysis link semantic similarity to residual item-pair dependence. Future work will test robustness across larger samples, additional datasets, and alternative diagnostics.</abstract>
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%0 Conference Proceedings
%T A Preliminary Semantic Screen for IRT Local Dependence
%A Shen, Qian
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-1-7
%F shen-2026-preliminary
%X This work-in-progress study examines whether sentence embeddings can flag item pairs at risk for local dependence in multidimensional IRT. Using a 50-item personality inventory, preliminary analysis link semantic similarity to residual item-pair dependence. Future work will test robustness across larger samples, additional datasets, and alternative diagnostics.
%U https://aclanthology.org/2026.aimecon-wip.2/
%P 9-16

Markdown (Informal)

[A Preliminary Semantic Screen for IRT Local Dependence](https://aclanthology.org/2026.aimecon-wip.2/) (Shen, AIME-Con 2026)

• A Preliminary Semantic Screen for IRT Local Dependence (Shen, AIME-Con 2026)

ACL

• Qian Shen. 2026. A Preliminary Semantic Screen for IRT Local Dependence. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 9–16, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).