Jad Kabbara

Postdoctoral Researcher | Massachusetts Institute of Technology

Publications


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ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
William Brannon, Suyash Fulay, Hang Jiang, Wonjune Kang, Brandon Roy, Jad Kabbara and Deb Roy  
Under submission
[PAPER]    

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The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI
Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi Wu, Enrico Shippole, Kurt Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Sara Hooker  
Under submission
[PAPER]    

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Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions
Jad Kabbara and Jackie C.K. Cheung  
Findings of EMNLP 2023, Singapore, Singapore, December 2023
[PAPER]    

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PersonaLLM: Investigating the Ability of GPT-3.5 to Express Personality Traits and Gender Differences
Hang Jiang, Xiajie Zhang, Xubo Cao and Jad Kabbara  
IC2S2 2023, Copenhagen, Denmark, July 2023
[PAPER]    

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Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
Robert Morabito, Jad Kabbara and Ali Emami  
Findings of ACL 2023, Toronto, Canada, July 2023
[PAPER]    

bert

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
[PAPER]    
Best Short Paper Award

def_summ

Post-Editing Extractive Summaries by Definiteness Prediction
Jad Kabbara and Jackie C.K. Cheung  
Findings of EMNLP 2021, Punta Cana, Dominican Republic, November 2021
[PAPER]    

pragmatic_srw

Computational Investigations of Pragmatic Effects in Natural Language
Jad Kabbara  
NAACL Student Reseserch Workshop 2019, Minneapolis, Minnesota, USA, June 2019

adverbial_presup

Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers
Andre Cianflone*, Yulan Feng*, Jad Kabbara* and Jackie C.K. Cheung (* denotes equal contribution) 
ACL 2018, Melbourne, Australia, July 2018
[PAPER]     [DATA]    
Best Paper Award

relevance

Relevance Effect: Exploiting Bayesian Networks to Improve Supervised Learning
Ardavan S. Nobandegani*, Jad Kabbara* and Ioannis N. Psaromiligkos (* denotes equal contribution)  
IJCNN 2017, Anchorage, Alaska, USA, May 2017
[PAPER]    

definiteness

Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
Jad Kabbara, Yulan Feng and Jackie C.K. Cheung  
COLING 2016, Osaka, Japan, December 2016
[PAPER]    

stylistic_transfer

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]    

subspace

Kernel Subspace Pursuit for Sparse Regression
Jad Kabbara and Ioannis N. Psaromiligkos  
Pattern Recognition Letters, January 2016
[PAPER]    

krls

Improving the tracking ability of KRLS using kernel subspace pursuit
Jad Kabbara and Ioannis N. Psaromiligkos  
IEEE ICASSP 2014, Florence, Italy, May 2014
[PAPER]    

© Massachusetts Institute of Technology 2024