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Unsupervised Paraphrasing of Multiword Expressions

2023-06-02Code Available0· sign in to hype

Takashi Wada, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau

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Abstract

We propose an unsupervised approach to paraphrasing multiword expressions (MWEs) in context. Our model employs only monolingual corpus data and pre-trained language models (without fine-tuning), and does not make use of any external resources such as dictionaries. We evaluate our method on the SemEval 2022 idiomatic semantic text similarity task, and show that it outperforms all unsupervised systems and rivals supervised systems.

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