Semantic Search System using Word Embeddings for query expansion

Miguel A. Silva-Fuentes, Hugo David Calderon Vilca, Edwin F. Calderon-Vilca, Flor C. Cárdenas-Marino

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In the present the amount of documents on the web has increased a lot, which has brought as a consequence that the terms that were previously necessary to find the information the user needs now end up being very vague and less precise. In this paper we focus on the use of word embeddings based on Word2Vec to implement another information retrieval system with semantical capabilities, what has been achieved in the present work is a new way of increasing the capabilities of a common search system(demonstrated by the increase in MAP and Precision).

Original languageEnglish
Title of host publication2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538695678
DOIs
StatePublished - Sep 2019
Externally publishedYes
Event2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019 - Gramado, Brazil
Duration: 15 Sep 201918 Sep 2019

Publication series

Name2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

Conference

Conference2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
Country/TerritoryBrazil
CityGramado
Period15/09/1918/09/19

Keywords

  • Information Retrieval
  • machine learning
  • Natural Language Processing
  • Semantic Search
  • Word2Vec

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