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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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Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering

Sep 17, 2019
Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum


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Optimal Transport-based Alignment of Learned Character Representations for String Similarity

Jul 23, 2019
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum

* ACL Long Paper 

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Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering

May 14, 2019
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum

* Published at ICLR 2019 

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A Survey on Semantic Parsing

Dec 10, 2018
Aishwarya Kamath, Rajarshi Das

* AKBC 2019 submission 

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Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension

Oct 12, 2018
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum

* ICLR 2019 submission 

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A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Jun 01, 2018
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock

* Presented at the Machine Reading for Question Answering (MRQA 2018) Workshop at the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2018). 11 pages, 5 tables, 4 figures 

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Weaver: Deep Co-Encoding of Questions and Documents for Machine Reading

Apr 27, 2018
Martin Raison, Pierre-Emmanuel Mazaré, Rajarshi Das, Antoine Bordes


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Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Nov 15, 2017
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum

* ICLR 2018 submission 

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Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

May 01, 2017
Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum

* accepted to EACL 2017 (fixed latex formatting in previous version) 

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Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks

Apr 27, 2017
Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum

* ACL 2017 (short) 

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