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

doi:10.1109/ISGT-LA.2019.8894992

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538695678
DOIs	https://doi.org/10.1109/ISGT-LA.2019.8894992
State	Published - Sep 2019
Externally published	Yes
Event	2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019 - Gramado, Brazil Duration: 15 Sep 2019 → 18 Sep 2019

Publication series

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

Conference

Conference	2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
Country/Territory	Brazil
City	Gramado
Period	15/09/19 → 18/09/19

Keywords

Information Retrieval
machine learning
Natural Language Processing
Semantic Search
Word2Vec

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISGT-LA.2019.8894992

Cite this

Silva-Fuentes, M. A., Calderon Vilca, H. D., Calderon-Vilca, E. F., & Cárdenas-Marino, F. C. (2019). Semantic Search System using Word Embeddings for query expansion. In 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019 [8894992] (2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT-LA.2019.8894992

Silva-Fuentes, Miguel A. ; Calderon Vilca, Hugo David ; Calderon-Vilca, Edwin F. ; Cárdenas-Marino, Flor C. / Semantic Search System using Word Embeddings for query expansion. 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019).

@inproceedings{124e5cc99ba849cb90060ee08f21279f,

title = "Semantic Search System using Word Embeddings for query expansion",

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).",

keywords = "Information Retrieval, machine learning, Natural Language Processing, Semantic Search, Word2Vec",

author = "Silva-Fuentes, {Miguel A.} and {Calderon Vilca}, {Hugo David} and Calderon-Vilca, {Edwin F.} and C{\'a}rdenas-Marino, {Flor C.}",

year = "2019",

month = sep,

doi = "10.1109/ISGT-LA.2019.8894992",

language = "Ingl{\'e}s",

series = "2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019",

address = "Estados Unidos",

}

Silva-Fuentes, MA, Calderon Vilca, HD, Calderon-Vilca, EF & Cárdenas-Marino, FC 2019, Semantic Search System using Word Embeddings for query expansion. in 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019., 8894992, 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019, Gramado, Brazil, 15/09/19. https://doi.org/10.1109/ISGT-LA.2019.8894992

Semantic Search System using Word Embeddings for query expansion. / Silva-Fuentes, Miguel A.; Calderon Vilca, Hugo David; Calderon-Vilca, Edwin F.; Cárdenas-Marino, Flor C.

2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8894992 (2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Semantic Search System using Word Embeddings for query expansion

AU - Silva-Fuentes, Miguel A.

AU - Calderon Vilca, Hugo David

AU - Calderon-Vilca, Edwin F.

AU - Cárdenas-Marino, Flor C.

PY - 2019/9

Y1 - 2019/9

N2 - 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).

AB - 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).

KW - Information Retrieval

KW - machine learning

KW - Natural Language Processing

KW - Semantic Search

KW - Word2Vec

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U2 - 10.1109/ISGT-LA.2019.8894992

DO - 10.1109/ISGT-LA.2019.8894992

M3 - Contribución a la conferencia

AN - SCOPUS:85075753613

T3 - 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

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

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 15 September 2019 through 18 September 2019

ER -

Silva-Fuentes MA, Calderon Vilca HD, Calderon-Vilca EF, Cárdenas-Marino FC. Semantic Search System using Word Embeddings for query expansion. In 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8894992. (2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019). https://doi.org/10.1109/ISGT-LA.2019.8894992

Semantic Search System using Word Embeddings for query expansion

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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Cite this