مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

93
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

62
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

A Graph-Based Approach for Persian Entity Linking

Pages

  60-69

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.

Multimedia

  • No record.
  • Cites

  • No record.
  • References

  • No record.
  • Cite

    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

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button