mlsanityData to 7 Oct 2026

Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts

arXiv 2210.04756 ↗First posted 10 Oct 2022cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

This study presents a new approach to metaphorical paraphrase generation by masking literal tokens of literal sentences and unmasking them with metaphorical language models. Unlike similar studies, the proposed algorithm does not only focus on verbs but also on nouns and adjectives. Despite the fact that the transfer rate for the former is the highest (56%), the transfer of the latter is feasible (24% and 31%). Human evaluation showed that our system-generated metaphors are considered more creative and metaphorical than human-generated ones while when using our transferred metaphors for data augmentation improves the state of the art in metaphorical sentence classification by 3% in F1.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 17 of its 55 references that are in the map. First posted on arXiv 10 Oct 2022.

Builds on

17 of 55 references.

References · 17

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  3. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  4. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  5. 2019What Does BERT Look At? An Analysis of BERT's Attentioncited by 994
  6. 2019Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Prunedcited by 844
  7. 2020A Primer in BERTology: What we know about how BERT workscited by 807
  8. 2019Universal Adversarial Triggers for Attacking and Analyzing NLPcited by 709
  9. 2019The Woman Worked as a Babysitter: On Biases in Language Generationcited by 540
  10. 2019MASS: Masked Sequence to Sequence Pre-training for Language Generationcited by 345
  11. 2021A Survey on Data Augmentation for Text Classificationcited by 111
  12. 2021Larger-Scale Transformers for Multilingual Masked Language Modelingcited by 86
5 more
  1. 2021MERMAID: Metaphor Generation with Symbolism and Discriminative Decodingcited by 49
  2. 2020Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspectivecited by 43
  3. 2021It's not Rocket Science : Interpreting Figurative Language in Narrativescited by 39
  4. 2018Neural Metaphor Detection in Contextcited by 34
  5. 2021Metaphor Generation with Conceptual Mappingscited by 32

Built on by

Not cited yet.