Ubaidillah nugraha biography of william

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      IndQNER is a Named Entity Recognition (NER) benchmark dataset that was created by manually annotating 8 chapters in the Indonesian translation of the Quran. The annotation was performed using a web-based text annotation tool, Tagtog, and the BIO (Beginning-Inside-Outside) tagging format. The dataset contains:

      • 3117 sentences
      • 62027 tokens
      • 2475 named entities
      • 18 named entity categories

      The named entity classes were initially defined by analyzing the existing Quran concepts ontology. The initial classes were updated based on the information acquired during the annotation process. Finally, there are 20 classes, as follows:

      1. Allah
      2. Allah's Throne
      3. Artifact
      4. Astronomical body
      5. Event
      6. False deity
      7. Holy book
      8. Language
      9. Angel
      10. Person
      11. Messenger
      12. Prophet
      13. Sentient
      14. Afterlife location
      15. Geographical location
      16. Color
      17. Religion
      18. Food
      19. Fruit
      20. The book of Allah

      There were eight annotators who contributed to the annotation process. They were informatics engineering students at the State Islamic University Syarif Hidayatullah Jakarta.

      1. Anggita Maharani Gumay Putri
      2. Muhammad Destamal Junas
      3. Naufaldi Hafidhigbal
      4. Nur Kholis Azzam Ubaidillah
      5. Puspitasari
      6. Septiany Nur Anggita
      7. Wilda Nurjannah
      8. William Santoso

      We found many name

    • ubaidillah nugraha biography of william