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Interpreting Verbal Metaphors by Paraphrasing

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arxiv 2104.03391 v1 pith:T3L6QUWC submitted 2021-04-07 cs.CL

Rui Mao , Chenghua Lin , Frank Guerin This is my paper · ORCID
classification cs.CL
keywords metaphorshelpmethodparaphrasingtasksaccuracybaselinebert
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Metaphorical expressions are difficult linguistic phenomena, challenging diverse Natural Language Processing tasks. Previous works showed that paraphrasing a metaphor as its literal counterpart can help machines better process metaphors on downstream tasks. In this paper, we interpret metaphors with BERT and WordNet hypernyms and synonyms in an unsupervised manner, showing that our method significantly outperforms the state-of-the-art baseline. We also demonstrate that our method can help a machine translation system improve its accuracy in translating English metaphors to 8 target languages.

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Cited by 1 Pith paper

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  1. Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding

    cs.CL 2025-07 conditional novelty 6.0 of 10

    A multi-dataset evaluation finds LLM performance on metaphor inference is driven more by lexical overlap and sentence length than by metaphor understanding.

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