Kamyar Zeinalipour GitHub Hugging Face

Publications / 2023

ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications

Kamyar Zeinalipour, Mohamed Saad, Marco Maggini, Marco Gori

Proceedings of ArabicNLP 2023 (First Arabic Natural Language Processing Conference), co-located with EMNLP 2023, Singapore (hybrid)
Presented on , 15 citations on Google Scholar

The idea of the paper in one short animation.

In short

The paper presents the first AI-driven Arabic crossword puzzle generator, using GPT-4, GPT-3 variants and BERT with fine-tuning, few/zero-shot prompting and quality filtering. It builds on a dataset of over 50,000 clue-answer pairs to produce clues for educational crosswords.

Educational content

Cite

@inproceedings{zeinalipour-etal-2023-arabicros,
    title = "{A}rab{I}cros: {AI}-Powered {A}rabic Crossword Puzzle Generation for Educational Applications",
    author = "Zeinalipour, Kamyar  and
      Saad, Mohamed  and
      Maggini, Marco  and
      Gori, Marco",
    editor = "Sawaf, Hassan  and
      El-Beltagy, Samhaa  and
      Zaghouani, Wajdi  and
      Magdy, Walid  and
      Abdelali, Ahmed  and
      Tomeh, Nadi  and
      Abu Farha, Ibrahim  and
      Habash, Nizar  and
      Khalifa, Salam  and
      Keleg, Amr  and
      Haddad, Hatem  and
      Zitouni, Imed  and
      Mrini, Khalil  and
      Almatham, Rawan",
    booktitle = "Proceedings of {A}rabic{NLP} 2023",
    month = dec,
    year = "2023",
    address = "Singapore (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.arabicnlp-1.23/",
    doi = "10.18653/v1/2023.arabicnlp-1.23",
    pages = "288--301"
}

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