HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection
Zheng Chu, Ziqing Yang, Yiming Cui, Zhigang Chen, Ming Liu · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
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.