Leveraging Three Types of Embeddings from Masked Language Models in Idiom Token Classification

Leveraging Three Types of Embeddings from Masked Language Models in Idiom Token Classification Ryosuke Takahashi author Ryohei Sasano author Koichi Takeda author 2022-07 text Proceedings of the 11th Joint Conference on Lexical and Computational Semantics Vivi Nastase editor Ellie Pavlick editor Mohammad Taher Pilehvar editor Jose Camacho-Collados editor Alessandro Raganato editor Association for Computational Linguistics Seattle, Washington conference publication takahashi-etal-2022-leveraging 10.18653/v1/2022.starsem-1.21 https://aclanthology.org/2022.starsem-1.21/ 2022-07 234 239