mlsanityData to 7 Oct 2026

HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection

arXiv 2204.06145 ↗First posted 13 Apr 2022cs.CLcited by 3

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Abstract (arXiv)

The same multi-word expressions may have different meanings in different sentences. They can be mainly divided into two categories, which are literal meaning and idiomatic meaning. Non-contextual-based methods perform poorly on this problem, and we need contextual embedding to understand the idiomatic meaning of multi-word expressions correctly. We use a pre-trained language model, which can provide a context-aware sentence embedding, to detect whether multi-word expression in the sentence is idiomatic usage.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 12 of its 21 references that are in the map. First posted on arXiv 13 Apr 2022.

Builds on

12 of 21 references.

References · 12

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Cited by year

Citing papers per year: 2022: 1; 2023: 0; 2024: 2.

3 papers.

  1. 2022SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embeddingcited by 36
  2. 2024Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detectioncited by 11
  3. 2024Is Less More? Quality, Quantity and Context in Idiom Processing with Natural Language Modelscited by 1