Journal of Natural Language Processing
Online ISSN : 2185-8314
Print ISSN : 1340-7619
ISSN-L : 1340-7619
Paper
Automatically Computable Metrics to Generate Metaphorical Verb Expressions
Akira MiyazawaYusuke Miyao
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2019 Volume 26 Issue 2 Pages 277-300

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Abstract

The automatic generation of metaphorical expressions helps us write imaginative texts such as poems or novels. This paper proposes a new metaphor generation task, evaluation metrics, and a method to solve the task. Our task is formalized as a problem of finding metaphorical paraphrases for a literal Japanese phrase consisting of a subject, an object, and a verb. We use four evaluation metrics: synonymousness, metaphoricity, novelty, and comprehensibility. Our proposed method generates metaphorical expressions by using three automatically computable scores—similarity, figurativeness, and rarity—corresponding to one of the evaluation metrics. By crowdsourcing, we show how these scores are related to those given by humans in terms of the evaluation metrics and how they are useful in finding human’s preferred expressions in pairwise comparisons.

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© 2019 The Association for Natural Language Processing
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