mlsanityData to 7 Oct 2026

From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation

arXiv 2104.06541 ↗First posted 13 Apr 2021cs.CLcited by 5

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Abstract (arXiv)

We study a new application for text generation -- idiomatic sentence generation -- which aims to transfer literal phrases in sentences into their idiomatic counterparts. Inspired by psycholinguistic theories of idiom use in one's native language, we propose a novel approach for this task, which retrieves the appropriate idiom for a given literal sentence, extracts the span of the sentence to be replaced by the idiom, and generates the idiomatic sentence by using a neural model to combine the retrieved idiom and the remainder of the sentence. Experiments on a novel dataset created for this task show that our model is able to effectively transfer literal sentences into idiomatic ones. Furthermore, automatic and human evaluations show that for this task, the proposed model outperforms a series of competitive baseline models for text generation.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 19 of its 47 references that are in the map. First posted on arXiv 13 Apr 2021.

Builds on

19 of 47 references.

References · 19

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7 more
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Cited by year

Citing papers per year: 2021: 3; 2022: 1; 2023: 1.

5 papers.

  1. 2021Investigating Robustness of Dialog Models to Popular Figurative Language Constructscited by 19
  2. 2021MOVER: Mask, Over-generate and Rank for Hyperbole Generationcited by 13
  3. 2021Idiomatic Expression Paraphrasing without Strong Supervisioncited by 7
  4. 2022Multi-Figurative Language Generationcited by 2
  5. 2023Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contextscited by 2