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WebVectors: A Toolkit for Building Web Interfaces for Vector Semantic Models

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Analysis of Images, Social Networks and Texts (AIST 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 661))

Abstract

The paper presents a free and open source toolkit which aim is to quickly deploy web services handling distributed vector models of semantics. It fills in the gap between training such models (many tools are already available for this) and dissemination of the results to general public. Our toolkit, WebVectors, provides all the necessary routines for organizing online access to querying trained models via modern web interface. We also describe two demo installations of the toolkit, featuring several efficient models for English, Russian and Norwegian.

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Notes

  1. 1.

    https://github.com/akutuzov/webvectors.

  2. 2.

    As of now, WebVectors supports models in generic Word2vec format (which is essentially a simple list of word vectors, in text or binary form) and gensim format (it is always binary and retains much more technical data, including output vectors).

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Author information

Authors and Affiliations

  1. University of Oslo, Oslo, Norway

    Andrey Kutuzov

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

    Elizaveta Kuzmenko

Authors
  1. Andrey Kutuzov
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  2. Elizaveta Kuzmenko
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Corresponding author

Correspondence to Elizaveta Kuzmenko .

Editor information

Editors and Affiliations

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

    Dmitry I. Ignatov

  2. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, Russia

    Mikhail Yu. Khachay

  3. Ural Federal University, Yekaterinbug, Russia

    Valeri G. Labunets

  4. Research Computing Center, Lomonosov Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Sergey I. Nikolenko

  6. Technische Universität Darmstadt, Darmstadt, Germany

    Alexander Panchenko

  7. Laboratory of Algorithms and Technologies for Networks Analysis, National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  8. Dorodnicyn Computing Centre of Russian Academy of Sciences, Moscow, Russia

    Konstantin Vorontsov

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Kutuzov, A., Kuzmenko, E. (2017). WebVectors: A Toolkit for Building Web Interfaces for Vector Semantic Models. In: Ignatov, D., et al. Analysis of Images, Social Networks and Texts. AIST 2016. Communications in Computer and Information Science, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-319-52920-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-52920-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52919-6

  • Online ISBN: 978-3-319-52920-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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