conference-paper Open access

Application of Long-Short Memory Neural Networks in Semantic Search Engines Development

  • Procedia Computer Science
  • Elsevier BV
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Paper overview

Abstract

This article provides an overview and description of the long-short memory approaches for the neural networks modelling and development. The authors show the possible application of these models and methods and consider its usage during the process of natural language understanding as the part of the semantic search system.

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Publication details

DOI
10.1016/j.procs.2020.02.234
OpenAlex
W3016448632
Document type
conference-paper
Language
EN
Source
Procedia Computer Science
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