@inproceedings{85f10590f0254935a5155cef514720ff,
title = "HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection",
abstract = "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.",
author = "Zheng Chu and Ziqing Yang and Yiming Cui and Zhigang Chen and Ming Liu",
note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 16th International Workshop on Semantic Evaluation, SemEval 2022 ; Conference date: 14-07-2022 Through 15-07-2022",
year = "2022",
doi = "10.18653/v1/2022.semeval-1.28",
language = "英语",
series = "SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "221--227",
editor = "Guy Emerson and Natalie Schluter and Gabriel Stanovsky and Ritesh Kumar and Alexis Palmer and Nathan Schneider and Siddharth Singh and Shyam Ratan",
booktitle = "SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop",
address = "澳大利亚",
}