Ph.D. Candidate
McGill University - Mila


News: I graduated from McGill and will be starting a postdoc at the MIT CCC with Prof. Deb Roy in November 2022!

I am a PhD student in Computer Science at McGill University. I received my Masters in Electrical and Computer Engineering from McGill University in 2014 and, before that, my Bachelor of Engineering in Computer and Communications Engineering (and minor in History) from the American University of Beirut in 2011.

My research advisor is Prof. Jackie C.K. Cheung. I am a member of the Reasoning and Learning lab (RL-Lab) and the Montreal Institute for Learning Algorithms (Mila). I am broadly interested in artificial intelligence and natural language processing. Currently, my research focus is on computational pragmatics and natural language understanding. I am particularly interested in the application of deep learning to these problem domains.

Our group organizes the CompLing meetings, a series of weekly research seminars in which we host researchers from the industry and academia working in different areas of natural language processing and computational linguistics. To join the CompLing mailing list, please send an email to compling-owner@cs.mcgill.ca.

Before getting into AI, I worked on wireless sensor networks for healthcare (@McGill -- ECE department), wireless sensor networks for water monitoring in rivers (@UC-Berkeley -- Floating Sensor Network project) and WiMAX networking (@Mobinets).


Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences
Jad Kabbara and Jackie C.K. Cheung.  
COLING 2022, Gyeongju, Republic of Korea, October 2022.
Best Short Paper Award
Post-Editing Extractive Summaries by Definiteness Prediction
Jad Kabbara and Jackie C.K. Cheung.  
Findings of EMNLP 2021, Punta Cana, Dominican Republic, November 2021.
Computational Investigations of Pragmatic Effects in Natural Language
Jad Kabbara  
NAACL Student Reseserch Workshop 2019, Minneapolis, Minnesota, USA, June 2019.
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers
Andre Cianflone (co-primary), Yulan Feng (co-primary), Jad Kabbara (co-primary) and Jackie C.K. Cheung  
ACL 2018, Melbourne, Australia, July 2018. [Oral]
[PAPER]     [SLIDES]     [DATA]    
Best Paper Award
Relevance Effect: Exploiting Bayesian Networks to Improve Supervised Learning
Ardavan S. Nobandegani (co-primary), Jad Kabbara (co-primary) and Ioannis N. Psaromiligkos.  
IJCNN 2017, Anchorage, Alaska, USA, May 2017.
[PAPER]     [POSTER]    
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
Jad Kabbara, Yulan Feng and Jackie C.K. Cheung.  
COLING 2016, Osaka, Japan, December 2016. [Oral]
[PAPER]     [SLIDES]    
Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks
Jad Kabbara and Jackie C.K. Cheung.  
UBLP 2016 (@ EMNLP 2016), Austin, Texas, USA, November 2016.
[PAPER]     [POSTER]    
Kernel Subspace Pursuit for Sparse Regression
Jad Kabbara and Ioannis N. Psaromiligkos.  
Pattern Recognition Letters, January 2016.
Improving the tracking ability of KRLS using kernel subspace pursuit
Jad Kabbara and Ioannis N. Psaromiligkos.  
IEEE ICASSP 2014, Florence, Italy, May 2014.
[PAPER]     [POSTER]    

Kernel adaptive filtering algorithms with improved tracking ability
Jad Kabbara.   [PDF]    
Master's Thesis, McGill ECE, April 2014.


COLING 2022 Best Short Paper Award
IVADO Excellence Fellowship (2020-2022)
ACL 2018 Best Paper Award
Bourse du Centre de Recherche Informatique de Montréal (CRIM) pour Études Supérieures (2017-2019)
Bourse d'Excellence du Fonds de Recherche du Québec Nature et Technologies (FRQNT) (2017-2018)
Graduate Excellence Award (McGill University) (2015 - 2017)
Bourse d'Excellence pour Étudiants Étrangers (Government of Quebec) (2011 - 2013)

Reasoning and Learning Lab
School of Computer Science, McGill University
3480 University Street, Room 111
Montreal, QC H3A 0E9
(514) 398-7071

Last Modified: October 2022