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Cross-lingual Metaphor Paraphrase Detection – Experimental Corpus and Baselines

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Information and Software Technologies (ICIST 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1283))

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Abstract

Correct understanding to metaphors is an integral part of natural language understanding. It requires, among other issues, the ability to decide whether a given pair of sentences – such that the first one contains a metaphor – form a paraphrase pair. Although this decision task is formally analogous to a “traditional paraphrase detection” task, it requires a different approach. Recently, a first monolingual corpus (in English) for metaphor paraphrasing was released – together with several baselines. In this work we are going to shift this task to a cross-lingual level: we state a task of cross-lingual metaphor paraphrase detection, introduce a corresponding experimental cross-lingual corpus (English-Czech) and present several approaches to this problem and set the baselines to this challenging problem. This cross-lingual approach may allow us to deal with tasks like multi-document summarization involving texts in different languages as well as enable us to improve information retrieval tools.

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Notes

  1. 1.

    https://www.businessinsider.com/obama-says-republicans-are-undermining-supreme-court-2016-10.

  2. 2.

    https://github.com/yuri-bizzoni/Metaphor-Paraphrase.

  3. 3.

    https://nlp.stanford.edu/projects/glove/.

  4. 4.

    Available at: https://github.com/martinvita/FigurativeLanguageParaphrasing/blob/master/crossLingualMetaphorParaphraseEN-CZ.csv.

  5. 5.

    We used https://tfhub.dev/google/universal-sentence-encoder/4.

  6. 6.

    https://github.com/facebookresearch/MUSE.

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Acknowledgement

The author wants to express thanks to colleagues and friends who contributed to translations of the paraphrase candidates and anonymous referees for their valuable comments and suggestions.

This work contains materials and results achieved in the author’s PhD thesis, currently under review.

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Authors and Affiliations

  1. NLP Centre, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Martin Víta

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  1. Martin Víta
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Correspondence to Martin Víta .

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Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Audrius Lopata

  2. Kaunas University of Technology, Kaunas, Lithuania

    Rita Butkienė

  3. Kaunas University of Technology, Kaunas, Lithuania

    Daina Gudonienė

  4. Kaunas University of Technology, Kaunas, Lithuania

    Vilma Sukackė

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Víta, M. (2020). Cross-lingual Metaphor Paraphrase Detection – Experimental Corpus and Baselines. In: Lopata, A., Butkienė, R., Gudonienė, D., Sukackė, V. (eds) Information and Software Technologies. ICIST 2020. Communications in Computer and Information Science, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-59506-7_28

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  • DOI: https://doi.org/10.1007/978-3-030-59506-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59505-0

  • Online ISBN: 978-3-030-59506-7

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