Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space
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Abstract (arXiv)
The goal of this paper is to learn more about how idiomatic information is structurally encoded in embeddings, using a structural probing method. We repurpose an existing English verbal multi-word expression (MWE) dataset to suit the probing framework and perform a comparative probing study of static (GloVe) and contextual (BERT) embeddings. Our experiments indicate that both encode some idiomatic information to varying degrees, but yield conflicting evidence as to whether idiomaticity is encoded in the vector norm, leaving this an open question. We also identify some limitations of the used dataset and highlight important directions for future work in improving its suitability for a probing analysis.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 18 of its 54 references that are in the map. First posted on arXiv 27 Apr 2023.
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18 of 54 references.
References · 18
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6 more
- 2018Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysiscited by 17
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Citing papers per year: 2024: 2; 2025: 0; 2026: 1.
3 papers.