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

  • Andrey Kutuzov
  • Elizaveta KuzmenkoEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (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.

Keywords

Distributional semantics Neural embeddings Word2vec Machine learning Visualization 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.University of OsloOsloNorway
  2. 2.National Research University Higher School of EconomicsMoscowRussia

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