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CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases


Apr 18, 2022
Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum

* 8 pages, 3 figurs, 4 tables 

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Calibration of Machine Reading Systems at Scale


Mar 20, 2022
Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan

* Accepted at ACL 2022 Findings 

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Knowledge Base Question Answering by Case-based Reasoning over Subgraphs


Feb 22, 2022
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum


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A Dataset for Discourse Structure in Peer Review Discussions


Oct 16, 2021
Neha Nayak Kennard, Tim O'Gorman, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Rajarshi Das, Hamed Zamani, Andrew McCallum


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Case-based Reasoning for Natural Language Queries over Knowledge Bases


Apr 18, 2021
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum


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Long Document Summarization in a Low Resource Setting using Pretrained Language Models


Mar 01, 2021
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum


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Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion


Oct 09, 2020
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum


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A Simple Approach to Case-Based Reasoning in Knowledge Bases


Jun 25, 2020
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum


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ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning


May 02, 2020
Michael Boratko, Xiang Lorraine Li, Rajarshi Das, Tim O'Gorman, Dan Le, Andrew McCallum


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Do Multi-hop Readers Dream of Reasoning Chains?


Oct 31, 2019
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao

* Accepted by MRQA Workshop 2019 

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