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General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(2): 178-182 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.109

Using Semantic Entity Extraction Method for a New Application

Farhad Abedini, Fariborz Mahmoudi, and Seyedeh Masoumeh Mirhashem

Abstract—Semantic entities extraction method has been used for various aims. Here, it will be used for a new application – computing semantic relatedness of texts. The previous works in the field of computing semantic relatedness of texts convert a text into a set of words by different methods, and then compute semantic relatedness between these words of texts. In this paper a different approach will be proposed in which any text converts to a set of semantic entities to compute semantic relatedness. Comparing the results with the literatures shows that the results of this new approach can be sufficiently reliable.

Index Terms—Semantic entity extraction, YAGO ontology,semantic relatedness, fact extraction, information retrieval.

F. Abedini is with the Electrical and Computer Engineering Department, and member of Young Researchers Club, Islamic Azad University, Roudsar and Amlash branch, Roudsar, Iran (e-mail: abedini.ac@gmail.com).
F. Mahmoudi is with the Electrical and Computer Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran. (e-mail: mahmoudi@qiau.ac.ir).
S. M. Mirhashem is with the Islamic Azad University, Roudsar and Amlash branch, Roudsar, Iran (e-mail: saeedeh.mirhashem@yahoo.com).

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Cite: Farhad Abedini, Fariborz Mahmoudi, and Seyedeh Masoumeh Mirhashem, "Using Semantic Entity Extraction Method for a New Application," International Journal of Machine Learning and Computing vol. 2, no. 2, pp. 178-182, 2012.

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