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Construction of a Russian Paraphrase Corpus: Unsupervised Paraphrase Extraction

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Information Retrieval (RuSSIR 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 573))

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Abstract

This paper presents a crowdsourcing project on the creation of a publicly available corpus of sentential paraphrases for Russian. Collected from the news headlines, such corpus could be applied for information extraction and text summarization. We collect news headlines from different agencies in real-time; paraphrase candidates are extracted from the headlines using an unsupervised matrix similarity metric. We provide user-friendly online interface for crowdsourced annotation which is available at paraphraser.ru. There are 5181 annotated sentence pairs at the moment, with 4758 of them included in the corpus. The annotation process is going on and the current version of the corpus is freely available at http://paraphraser.ru.

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Notes

  1. 1.

    This statement can only be applied to the informative news texts (the ones intended to inform, and not to persuade the reader) and not to the publicistic texts (exerting influence on the reader in the first place). A publicistic headline is often designed to attract readers’ attention. However, both publicistic and informative texts can be used as a source of paraphrases.

  2. 2.

    The latter might be of no importance for English, but they are essential for detecting Russian sentential paraphrases.

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Authors and Affiliations

  1. Saint-Petersburg State University, Saint-Petersburg, Russian Federation

    Ekaterina Pronoza, Elena Yagunova & Anton Pronoza

Authors
  1. Ekaterina Pronoza
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  2. Elena Yagunova
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  3. Anton Pronoza
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Correspondence to Ekaterina Pronoza .

Editor information

Editors and Affiliations

  1. Ural Federal University , Yekaterinburg, Russia

    Pavel Braslavski

  2. University of Amsterdam, Amsterdam, The Netherlands

    Ilya Markov

  3. University of Florida , Gainsville, Florida, USA

    Panos Pardalos

  4. Eurecat , Barcelona, Spain

    Yana Volkovich

  5. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  6. National Research University Higher School of Economics, Saint Petersburg, Russia

    Sergei Koltsov

  7. National Research University Higher School of Economics, Saint Petersburg, Russia

    Olessia Koltsova

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Pronoza, E., Yagunova, E., Pronoza, A. (2016). Construction of a Russian Paraphrase Corpus: Unsupervised Paraphrase Extraction. In: Braslavski, P., et al. Information Retrieval. RuSSIR 2015. Communications in Computer and Information Science, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-41718-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-41718-9_8

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  • Online ISBN: 978-3-319-41718-9

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