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We propose a unified framework that enables us to consider various aspects ofcontextualization at different levels to better identify the idiomaticity ofmulti-word expressions. Through extensive experiments, we demonstrate that ourapproach based on the inter- and inner-sentence context of a target MWE iseffective in improving the performance of related models. We also share ourexperience in detail on the task of SemEval-2022 Tasks 2 such that future workon the same task can be benefited from this.

HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization