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        <title>Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks</title>
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            <namePart type="family">Beigman Klebanov</namePart>
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            <namePart type="given">Ekaterina</namePart>
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    <abstract>We propose a new annotated corpus for metaphor interpretation by paraphrase, and a novel DNN model for performing this task. Our corpus consists of 200 sets of 5 sentences, with each set containing one reference metaphorical sentence, and four ranked candidate paraphrases. Our model is trained for a binary classification of paraphrase candidates, and then used to predict graded paraphrase acceptability. It reaches an encouraging 75% accuracy on the binary classification task, and high Pearson (.75) and Spearman (.68) correlations on the gradient judgment prediction task.</abstract>
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%0 Conference Proceedings
%T Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks
%A Bizzoni, Yuri
%A Lappin, Shalom
%Y Beigman Klebanov, Beata
%Y Shutova, Ekaterina
%Y Lichtenstein, Patricia
%Y Muresan, Smaranda
%Y Wee, Chee
%S Proceedings of the Workshop on Figurative Language Processing
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F bizzoni-lappin-2018-predicting
%X We propose a new annotated corpus for metaphor interpretation by paraphrase, and a novel DNN model for performing this task. Our corpus consists of 200 sets of 5 sentences, with each set containing one reference metaphorical sentence, and four ranked candidate paraphrases. Our model is trained for a binary classification of paraphrase candidates, and then used to predict graded paraphrase acceptability. It reaches an encouraging 75% accuracy on the binary classification task, and high Pearson (.75) and Spearman (.68) correlations on the gradient judgment prediction task.
%R 10.18653/v1/W18-0906
%U https://aclanthology.org/W18-0906
%U https://doi.org/10.18653/v1/W18-0906
%P 45-55

Markdown (Informal)

[Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks](https://aclanthology.org/W18-0906) (Bizzoni & Lappin, Fig-Lang 2018)

• Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks (Bizzoni & Lappin, Fig-Lang 2018)

ACL

• Yuri Bizzoni and Shalom Lappin. 2018. Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks. In Proceedings of the Workshop on Figurative Language Processing, pages 45–55, New Orleans, Louisiana. Association for Computational Linguistics.