RUSSE: The first workshop on Russian semantic similarity

A. Panchenko, N. V. Loukachevitch, D. Ustalov, D. Paperno, C. M. Meyer, N. Konstantinova

Research output: Contribution to journalConference articlepeer-review

32 Citations (Scopus)

Abstract

The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared task held in conjunction with the Dialogue 2015 conference. There exist a lot of comparative studies on semantic similarity, yet no analysis of such measures was ever performed for the Russian language. Exploring this problem for the Russian language is even more interesting, because this language has features, such as rich morphology and free word order, which make it significantly different from English, German, and other wellstudied languages. We attempt to bridge this gap by proposing a shared task on the semantic similarity of Russian nouns. Our key contribution is an evaluation methodology based on four novel benchmark datasets for the Russian language. Our analysis of the 105 submissions from 19 teams reveals that successful approaches for English, such as distributional and skip-gram models, are directly applicable to Russian as well. On the one hand, the best results in the contest were obtained by sophisticated supervised models that combine evidence from different sources. On the other hand, completely unsupervised approaches, such as a skip-gram model estimated on a largescale corpus, were able score among the top 5 systems.

Original languageEnglish
Pages (from-to)89-105
Number of pages17
JournalKomp'juternaja Lingvistika i Intellektual'nye Tehnologii
Volume2
Issue number14
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Computational Linguistics and Intellectual Technologies, Dialogue 2015 - Moscow, Russian Federation
Duration: 27 May 201530 May 2015

Keywords

  • Co-hyponyms
  • Computational linguistics
  • Hypernyms
  • Lexical semantics
  • Semantic relatedness
  • Semantic relation extraction
  • Semantic relations
  • Semantic similarity measures
  • Synonyms

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