Constructing a word similarity graph from vector based word representation for named entity recognition

In this paper, we discuss a method for identifying a seed word that would best represent a class of named entities in a graphical representation of words and their similarities. Word networks, or word graphs, are representations of vectorized text where nodes are the words encountered in a corpus, a...

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Main Authors:	Feria, Miguel, Balbin, Juan Paolo Santos, Bautista, Francis Michael
Format:	text
Published:	Animo Repository 2018
Subjects:	Linguistics—Graphic methods Semantics—Mathematical models Computer Sciences Mathematics
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/3405 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4407/type/native/viewcontent/0006926201660171.html
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Institution:	De La Salle University

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spelling	oai:animorepository.dlsu.edu.ph:faculty_research-44072022-12-20T10:58:40Z Constructing a word similarity graph from vector based word representation for named entity recognition Feria, Miguel Balbin, Juan Paolo Santos Bautista, Francis Michael In this paper, we discuss a method for identifying a seed word that would best represent a class of named entities in a graphical representation of words and their similarities. Word networks, or word graphs, are representations of vectorized text where nodes are the words encountered in a corpus, and the weighted edges incident on the nodes represent how similar the words are to each other. Word networks are then divided into communities using the Louvain Method for community detection, then betweenness centrality of each node in each community is computed. The most central node in each community represents the most ideal candidate for a seed word of a named entity group which represents the community. Our results from our bilingual data set show that words with similar lexical content, from either language, belong to the same community. Copyright © 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved 2018-01-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/3405 info:doi/10.5220/0006926201660171 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4407/type/native/viewcontent/0006926201660171.html Faculty Research Work Animo Repository Linguistics—Graphic methods Semantics—Mathematical models Computer Sciences Mathematics
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Linguistics—Graphic methods Semantics—Mathematical models Computer Sciences Mathematics
spellingShingle	Linguistics—Graphic methods Semantics—Mathematical models Computer Sciences Mathematics Feria, Miguel Balbin, Juan Paolo Santos Bautista, Francis Michael Constructing a word similarity graph from vector based word representation for named entity recognition
description	In this paper, we discuss a method for identifying a seed word that would best represent a class of named entities in a graphical representation of words and their similarities. Word networks, or word graphs, are representations of vectorized text where nodes are the words encountered in a corpus, and the weighted edges incident on the nodes represent how similar the words are to each other. Word networks are then divided into communities using the Louvain Method for community detection, then betweenness centrality of each node in each community is computed. The most central node in each community represents the most ideal candidate for a seed word of a named entity group which represents the community. Our results from our bilingual data set show that words with similar lexical content, from either language, belong to the same community. Copyright © 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved
format	text
author	Feria, Miguel Balbin, Juan Paolo Santos Bautista, Francis Michael
author_facet	Feria, Miguel Balbin, Juan Paolo Santos Bautista, Francis Michael
author_sort	Feria, Miguel
title	Constructing a word similarity graph from vector based word representation for named entity recognition
title_short	Constructing a word similarity graph from vector based word representation for named entity recognition
title_full	Constructing a word similarity graph from vector based word representation for named entity recognition
title_fullStr	Constructing a word similarity graph from vector based word representation for named entity recognition
title_full_unstemmed	Constructing a word similarity graph from vector based word representation for named entity recognition
title_sort	constructing a word similarity graph from vector based word representation for named entity recognition
publisher	Animo Repository
publishDate	2018
url	https://animorepository.dlsu.edu.ph/faculty_research/3405 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4407/type/native/viewcontent/0006926201660171.html
_version_	1767195899395571712

Constructing a word similarity graph from vector based word representation for named entity recognition

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