A Graph-Based Approach for Persian Entity Linking

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Asgari Bidhend Majid; Fakhrian Farzane; MINAEI BIDGOLI BEHROUZ

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Journal Paper

Paper Information

Journal: International Journal of Information and Communication Technology Research Year:2020 | Volume:12 | Issue:4 Page(s): 60-69

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Title

A Graph-Based Approach for Persian Entity Linking

Author(s)

Asgari Bidhend Majid | Fakhrian Farzane | MINAEI BIDGOLI BEHROUZ | Issue Writer Certificate

Keywords

Unsupervised Entity Linking

Entity Disambiguation

Persian Language

FarsBase

Knowledge Graph

Social Media Corpus

Abstract

Most of the data on the web is in the form of natural language, but natural language is highly ambiguous, especially when it comes to the frequent occurrence of entities. The goal of entity linking is to find entity mentions and link them to their corresponding entities in an external knowledge base. Recently, FarsBase was introduced as the first Persian knowledge base with nearly 750, 000 entities. This research suggested one of the first end-to-end Unsupervised Entity Linking systems specifically for Persian, using context and graph-based features to rank candidate entities. To evaluate the proposed method, we used the first Persian entity-linking dataset created by crawling social media text from some popular Telegram channels. The ParsEL results show that the F-Score of the input data set is 87. 1% and is comparable to any other entity-linking system that supports Persian.

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APA: Copy

Asgari Bidhend, Majid, Fakhrian, Farzane, & MINAEI BIDGOLI, BEHROUZ. (2020). A Graph-Based Approach for Persian Entity Linking. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, 12(4), 60-69. SID. https://sid.ir/paper/969982/en

Vancouver: Copy

Asgari Bidhend Majid, Fakhrian Farzane, MINAEI BIDGOLI BEHROUZ. A Graph-Based Approach for Persian Entity Linking. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH[Internet]. 2020;12(4):60-69. Available from: https://sid.ir/paper/969982/en

IEEE: Copy

Majid Asgari Bidhend, Farzane Fakhrian, and BEHROUZ MINAEI BIDGOLI, “A Graph-Based Approach for Persian Entity Linking,” INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, vol. 12, no. 4, pp. 60–69, 2020, [Online]. Available: https://sid.ir/paper/969982/en

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