Semantics of Multiword Expressions in Transformer-Based Models: A Survey
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Abstract (arXiv)
Multiword expressions (MWEs) are composed of multiple words and exhibit variable degrees of compositionality. As such, their meanings are notoriously difficult to model, and it is unclear to what extent this issue affects transformer architectures. Addressing this gap, we provide the first in-depth survey of MWE processing with transformer models. We overall find that they capture MWE semantics inconsistently, as shown by reliance on surface patterns and memorized information. MWE meaning is also strongly localized, predominantly in early layers of the architecture. Representations benefit from specific linguistic properties, such as lower semantic idiosyncrasy and ambiguity of target expressions. Our findings overall question the ability of transformer models to robustly capture fine-grained semantics. Furthermore, we highlight the need for more directly comparable evaluation setups.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 47 of its 95 references that are in the map. First posted on arXiv 27 Jan 2024.
Builds on
47 of 95 references.
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Built on by
Citing papers per year: 2024: 1; 2025: 6; 2026: 2.
9 papers.
- 2025Memorization or Reasoning? Exploring the Idiom Understanding of LLMscited by 7
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- 2024Investigating Idiomaticity in Word Representationscited by 1
- 2026From Lemmas to Dependencies: What Signals Drive Light Verbs Classification?cited by 1
- 2025Evaluating Large Language Models on Multiword Expressions in Multilingual and Code-Switched Contextscited by 0
- 2025Attention on Multiword Expressions: A Multilingual Study of BERT-based Models with Regard to Idiomaticity and Microsyntaxcited by 0
- 2025Probing BERT for German Compound Semanticscited by 0
- 2025Anatomy of an Idiom: Tracing Non-Compositionality in Language Modelscited by 0
- 2026Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classificationcited by 0
- 2026Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification5 Jun 2026
- 2026From Lemmas to Dependencies: What Signals Drive Light Verbs Classification?4 Feb 2026
- 2025Anatomy of an Idiom: Tracing Non-Compositionality in Language Models20 Nov 2025
- 2025NLP Datasets for Idiom and Figurative Language Tasks20 Nov 2025
- 2025Memorization or Reasoning? Exploring the Idiom Understanding of LLMs22 May 2025
- 2025Probing BERT for German Compound Semantics20 May 2025
- 2025Attention on Multiword Expressions: A Multilingual Study of BERT-based Models with Regard to Idiomaticity and Microsyntax9 May 2025
- 2025Evaluating Large Language Models on Multiword Expressions in Multilingual and Code-Switched Contexts10 Apr 2025
- 2024Investigating Idiomaticity in Word Representations4 Nov 2024