A multi-dataset evaluation finds LLM performance on metaphor inference is driven more by lexical overlap and sentence length than by metaphor understanding.
Interpreting Verbal Metaphors by Paraphrasing
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abstract
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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cs.CL 1years
2025 1verdicts
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Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding
A multi-dataset evaluation finds LLM performance on metaphor inference is driven more by lexical overlap and sentence length than by metaphor understanding.