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Gathering Information About Word Similarity from Neighbor Sentences

  • Natalia LoukachevitchEmail author
  • Aleksei Alekseev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9924)

Abstract

In this paper we present the first results of detecting word semantic similarity on the Russian translations of Miller-Charles and Rubenstein-Goodenough sets prepared for the first Russian word semantic evaluation Russe-2015. The experiments were carried out on three text collections: Russian Wikipedia, a news collection, and their united collection. We found that the best results in detection of lexical paradigmatic relations are achieved using the combination of word2vec with the new type of features based on word co-occurrences in neighbor sentences.

Keywords

Russian word semantic similarity Evaluation Neighbor sentences Word2vec Spearman’s correlation 

Notes

Acknowledgments

This work was partially supported by Russian Foundation for Basic Research, grant N14-07-00383.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Research Computing Center of Lomonosov Moscow State UniversityMoscowRussia

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