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

• URL: http://arxiv.org/abs/2104.06541v1
• Date: Tue, 13 Apr 2021 22:57:25 GMT
• Title: From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation
• Authors: Jianing Zhou, Hongyu Gong, Suma Bhat
• Abstract summary: We study a new application for text generation -- idiomatic sentence generation. We propose a novel approach for this task, which retrieves the appropriate idiom for a given literal sentence. We generate the idiomatic sentence by using a neural model to combine the retrieved idiom and the remainder of the sentence.
• Score: 14.360808219541752
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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