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Title

A Distant Supervised Approach for Relation Extraction in Farsi Texts

Year: 1399
COI: JR_IJWR-3-2_001
Language: EnglishView: 204
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Authors

Shireen Atarod - Department of Computer Engineering, Science and Research Branch, Azad University, Tehran, Iran.
Alireza Yari - Assistant Professor, ICT Research Institute (ITRC), Tehran, Iran

Abstract:

The volume of Farsi information on the Internet has been increasing in recent years. However, most of this information is in the form of unstructured or semi-structured free text. For quick and accurate access to the vast knowledge contained in these texts, the information extraction methods are essential to generate knowledge bases. In recent years, relation extraction as a sub-task of information extraction has received much attention. While many of these systems were developed in English and other well-known languages, the systems for information extraction in Farsi have received less attention from researchers. In this systematic research for semi-automatic relation extraction, Persian Wikipedia articles were presented as reliable and semi-structured sources. In this system, the relation extraction is performed with the assistance of patterns that are automatically obtained with an approach based on distant supervised. In order to apply the distant supervised, the vast knowledge base of Wikidata has been used as a source in perfect synchronization with Wikipedia. The results show that the average precision value for all relations is ۷۶.۸۱%, which indicates an enhancement of precision compared to other methods in Farsi.

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This Paper COI Code is JR_IJWR-3-2_001. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1229800/

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Atarod, Shireen and Yari, Alireza,1399,A Distant Supervised Approach for Relation Extraction in Farsi Texts,https://civilica.com/doc/1229800

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 33,949
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