Amine Trabelsi

Amine Trabelsi

Assistant Professor of Computer Science

Université de Sherbrooke

Biography

I am an Assistant Professor of Computer Science at Université de Sherbrooke, Sherbrooke, Quebec, Canada. My broad research interests relate to Artificial Intelligence, Applied Machine Leanrning, Data Mining and Natural Language Processing. I work on Unsupervised Automatic Contention Analysis and Summarization in Unstructured Text, Stance and Dubious Content Detection from Social Media, Emotion Recognition and Generation in Conversational Text.

Prior to this position, I have been an Assistant Professor in the Deparment of Computer Science at Lakehead University and a Postdoctoral Fellow of the Alberta Machine Intelligence Institute (Amii) in the Computing Science Department at the University of Alberta, Canada. I completed my Ph.D. at the University of Alberta, under the supervision of Prof. Osmar R. Zaïane. I hold an M.Sc. in Computer Science from the University of Montreal, Canada. I received my B.Sc. in Computer Science and Management from the University of Tunis, Tunisia.

For potential or current graduate students: I am currently looking for enthusiastic and motivated students interested in joining Université de Sherbrooke thesis-based M.Sc. program and Ph.D. program in Computer Science under my supervision in the Department of Computer Science. The targeted starting dates are January 2023, May 2023, or September 2023 (upon admission approval).

The research focus will be on topics related to Natural Language Processing (NLP). These include Mining Anti-social Behaviour in Social Media, Emotion Recognition and Generation in Conversational Text, Stance Detection, and Argumentation Mining and Summarization.

Interested students can send me an email at “amine.trabelsi@usherbrooke.ca” with the subject “Supervision 2023”, and include: a CV, an unofficial transcript, a good reference letter (if possible) sent directly by the referee, and a cover letter describing why they are interested in the proposed research topics and NLP in general and how they match the expected profile.

Applications by members of all underrepresented groups in computer science and post-secondary education are highly encouraged.

P.S. Please note that prospective students might not receive a response to their email in case of a high volume of inquiries.

Interests
  • Artificial Intelligence
  • Natural Language Processing
  • Applied Machine Learning
Education
  • Ph.D. in Computer Science, 2018

    University of Alberta

  • M.Sc. in Computer Science, 2010

    University of Montreal

  • B.Sc. in Computer Science and Management, 2007

    University of Tunis

Recent Publications

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(2021). Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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(2020). ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION). Proceedings of the Fourteenth Workshop on Semantic Evaluation.

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(2020). WEXEA: Wikipedia EXhaustive Entity Annotation. Proceedings of the 12th Language Resources and Evaluation Conference.

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(2019). Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019).

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(2019). PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances. Proceedings of the International AAAI Conference on Web and Social Media.

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