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Interpreting Verbal Metaphors by Paraphrasing

arXiv 2104.03391 ↗First posted 7 Apr 2021cs.CLcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 4 of its 23 references that are in the map. First posted on arXiv 7 Apr 2021.

Builds on

4 of 23 references.

References · 4

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  4. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,471

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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 1.

4 papers.