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Text Template Mining using Named Entity Recognition

by Dania Sagheer, Fadel Sukkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 46
Year of Publication: 2019
Authors: Dania Sagheer, Fadel Sukkar
10.5120/ijca2019918622

Dania Sagheer, Fadel Sukkar . Text Template Mining using Named Entity Recognition. International Journal of Computer Applications. 182, 46 ( Mar 2019), 34-40. DOI=10.5120/ijca2019918622

@article{ 10.5120/ijca2019918622,
author = { Dania Sagheer, Fadel Sukkar },
title = { Text Template Mining using Named Entity Recognition },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2019 },
volume = { 182 },
number = { 46 },
month = { Mar },
year = { 2019 },
issn = { 0975-8887 },
pages = { 34-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number46/30463-2019918622/ },
doi = { 10.5120/ijca2019918622 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:14:27.075140+05:30
%A Dania Sagheer
%A Fadel Sukkar
%T Text Template Mining using Named Entity Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 46
%P 34-40
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, the named entity recognition system is built using morphological, lexical and semantic analysis. Rule based system is designed for template mining from the Arabic text. Arabic texts are selected from oil production domain. They are taken from Arabic BBC, RT and CNN websites. The System is tested on these texts and the results give high performance, less error made and good accuracy in finding the templates from texts according to named entities extracted.

References
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  2. Vargas-Vera Maria, Domingue John, Kalfoglou Yannis, Motta Enrico and Shum Buckingham Simon, “Template-Driven Information Extraction for Populating Ontologies”, Proceedings of the 2nd International Conference on Ontology Learning - Volume 38, Pages 35-40, Seattle, USA, 2001.
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  8. Biran, Or, Terra Blevins and Kathleen McKeown. “Mining Paraphrasal Typed Templates from a Plain Text Corpus.” ACL (2016).
  9. Raymond J. Mooney and Razvan Bunescu ,“Mining Knowledge from Text Using Information Extraction”, ACM SIGKDD Explorations Newsletter - Natural language processing and text mining, Volume 7 Issue 1, June 2005, Pages 3-10
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  11. BOUDCHICHE Mohamed, MAZROUI Azzeddine, OULD Bebah Mohamed Ould Abdallahi, LAKHOUAJA Abdelhak, BOUDLAL Abderrahim. AlKhalil Morpho Sys 2: A robust Arabic morpho-syntactic analyzer, Journal of King Saud University – Computer and Information Sciences, 2017, 141–146p.
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Index Terms

Computer Science
Information Sciences

Keywords

Named Entity Recognition Template Mining Morphological Analysis Lexicon Semantic Analysis.

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