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Salim Al Mandhari

Research student

Lancaster University

InfoLab21

LA1 4WA

Lancaster

  • Published

    RGCL at IDAT‏: deep learning models for irony detection in Arabic language

    Ranasinghe, T., Saadany, H., Plum, A., Al Mandhari, S., Mohamed, E., Orasan, C. & Mitkov, R., 12/12/2019, ‏Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, 12th-15th December, 2019.. CEUR Workshop Proceedings, p. 416-425 10 p. (CEUR Workshop Proceedings ; vol. 2517).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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