What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT
Sydelle De Souza, Ivan Vegner, Francis Mollica, Leonidas A. A. Doumas
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.- Anthology ID:
- 2025.conll-1.19
- Volume:
- Proceedings of the 29th Conference on Computational Natural Language Learning
- Month:
- July
- Year:
- 2025
- Address:
- Vienna, Austria
- Editors:
- Gemma Boleda, Michael Roth
- Venues:
- CoNLL | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 291–311
- Language:
- URL:
- https://preview.aclanthology.org/landing_page/2025.conll-1.19/
- DOI:
- Cite (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.
- Cite (Informal):
- What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT (De Souza et al., CoNLL 2025)
- PDF:
- https://preview.aclanthology.org/landing_page/2025.conll-1.19.pdf