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Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning


Dec 03, 2020
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramon Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G P Shrivatsa Bhargav, Mo Yu


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The TechQA Dataset


Nov 08, 2019
Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, Scott McCarley, Mike McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avirup Sil, Rosario Uceda-Sosa, Todd Ward, Rong Zhang

* Long version of conference paper to be submitted 

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Span Selection Pre-training for Question Answering


Sep 09, 2019
Michael Glass, Alfio Gliozzo, Rishav Chakravarti, Anthony Ferritto, Lin Pan, G P Shrivatsa Bhargav, Dinesh Garg, Avirup Sil


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Deep Domain Adaptation under Deep Label Scarcity


Sep 20, 2018
Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar


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Improved Linear Embeddings via Lagrange Duality


Dec 14, 2017
Kshiteej Sheth, Dinesh Garg, Anirban Dasgupta

* 20 pages 

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A Sparse Nonlinear Classifier Design Using AUC Optimization


Dec 27, 2016
Vishal Kakkar, Shirish K. Shevade, S Sundararajan, Dinesh Garg


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A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds


Jan 29, 2016
Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish Shevade, Y. Narahari


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Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators


Oct 16, 2012
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish Shevade

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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