ParaPhraser: Russian paraphrase corpus and shared task

Lidia Pivovarova, Ekaterina Pronoza, Elena Yagunova, Anton Pronoza

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


The paper describes the results of the First Russian Paraphrase Detection Shared Task held in St.-Petersburg, Russia, in October 2016. Research in the area of paraphrase extraction, detection and generation has been successfully developing for a long time while there has been only a recent surge of interest towards the problem in the Russian community of computational linguistics. We try to overcome this gap by introducing the project dedicated to the collection of Russian paraphrase corpus and organizing a Paraphrase Detection Shared Task, which uses the corpus as the training data. The participants of the task applied a wide variety of techniques to the problem of paraphrase detection, from rule-based approaches to deep learning, and results of the task reflect the following tendencies: the best scores are obtained by the strategy of using traditional classifiers combined with fine-grained linguistic features, however, complex neural networks, shallow methods and purely technical methods also demonstrate competitive results.
Original languageEnglish
Title of host publicationArtificial Intelligence and Natural Language : 6th Conference, AINL 2017, St. Petersburg, Russia, September 20–23, 2017, Revised Selected Papers
EditorsAndrey Filchenkov, Lidia Pivovarova, Jan Žižka
Place of PublicationCham
Publication date2017
ISBN (Print)978-3-319-71745-6
ISBN (Electronic)978-3-319-71746-3
Publication statusPublished - 2017
MoE publication typeA4 Article in conference proceedings
EventConference on Artificial Intelligence and Natural Language - St.Petersburg, Russian Federation
Duration: 20 Sept 201723 Sept 2017
Conference number: 6

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929

Fields of Science

  • 6121 Languages
  • 113 Computer and information sciences

Cite this