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        <title>What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT</title>
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        <namePart type="given">Sydelle</namePart>
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    <abstract>Despite being ubiquitous in natural language, collocations (e.g., kick+habit) incur a unique processing cost, compared to compositional phrases (kick+door) and idioms (kick+bucket). We confirm this cost with behavioural data as well as MINERVA2, a memory model, suggesting that collocations constitute a distinct linguistic category. While the model fails to fully capture the observed human processing patterns, we find that below a specific item frequency threshold, the model’s retrieval failures align with human reaction times across conditions. This suggests an alternative processing mechanism that activates when memory retrieval fails.</abstract>
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%0 Conference Proceedings
%T What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT
%A de Souza, Sydelle
%A Vegner, Ivan
%A Mollica, Francis
%A Doumas, Leonidas A. A.
%Y Boleda, Gemma
%Y Roth, Michael
%S Proceedings of the 29th Conference on Computational Natural Language Learning
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-271-8
%F de-souza-etal-2025-memory
%X Despite being ubiquitous in natural language, collocations (e.g., kick+habit) incur a unique processing cost, compared to compositional phrases (kick+door) and idioms (kick+bucket). We confirm this cost with behavioural data as well as MINERVA2, a memory model, suggesting that collocations constitute a distinct linguistic category. While the model fails to fully capture the observed human processing patterns, we find that below a specific item frequency threshold, the model’s retrieval failures align with human reaction times across conditions. This suggests an alternative processing mechanism that activates when memory retrieval fails.
%R 10.18653/v1/2025.conll-1.19
%U https://aclanthology.org/2025.conll-1.19/
%U https://doi.org/10.18653/v1/2025.conll-1.19
%P 291-311

Markdown (Informal)

[What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT](https://aclanthology.org/2025.conll-1.19/) (de Souza et al., CoNLL 2025)

• What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT (de Souza et al., CoNLL 2025)

ACL

• Sydelle de Souza, Ivan Vegner, Francis Mollica, and Leonidas A. A. Doumas. 2025. What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT. In Proceedings of the 29th Conference on Computational Natural Language Learning, pages 291–311, Vienna, Austria. Association for Computational Linguistics.