Rajarshi Das | DeepAI

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∙ 12/20/2022

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories

Despite their impressive performance on diverse tasks, large language mo...

0 Alex Mallen, et al. ∙

∙ 04/18/2022

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

Knowledge bases (KBs) are often incomplete and constantly changing in pr...

4 Dung Thai, et al. ∙

∙ 03/20/2022

Calibration of Machine Reading Systems at Scale

In typical machine learning systems, an estimate of the probability of t...

0 Shehzaad Dhuliawala, et al. ∙

∙ 02/22/2022

Knowledge Base Question Answering by Case-based Reasoning over Subgraphs

Question answering (QA) over real-world knowledge bases (KBs) is challen...

7 Rajarshi Das, et al. ∙

∙ 10/16/2021

A Dataset for Discourse Structure in Peer Review Discussions

At the foundation of scientific evaluation is the labor-intensive proces...

4 Neha Nayak Kennard, et al. ∙

∙ 04/18/2021

Case-based Reasoning for Natural Language Queries over Knowledge Bases

It is often challenging for a system to solve a new complex problem from...

21 Rajarshi Das, et al. ∙

∙ 03/01/2021

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

Abstractive summarization is the task of compressing a long document int...

17 Ahsaas Bajaj, et al. ∙

∙ 10/07/2020

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

A case-based reasoning (CBR) system solves a new problem by retrieving `...

0 Rajarshi Das, et al. ∙

∙ 06/25/2020

A Simple Approach to Case-Based Reasoning in Knowledge Bases

We present a surprisingly simple yet accurate approach to reasoning in k...

0 Rajarshi Das, et al. ∙

∙ 05/02/2020

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

Given questions regarding some prototypical situation – such as Name som...

0 Michael Boratko, et al. ∙

∙ 10/31/2019

Do Multi-hop Readers Dream of Reasoning Chains?

General Question Answering (QA) systems over texts require the multi-hop...

0 Haoyu Wang, et al. ∙

∙ 09/17/2019

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

Multi-hop question answering (QA) requires an information retrieval (IR)...

0 Ameya Godbole, et al. ∙

∙ 07/23/2019

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

String similarity models are vital for record linkage, entity resolution...

0 Derek Tam, et al. ∙

∙ 05/14/2019

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

This paper introduces a new framework for open-domain question answering...

0 Rajarshi Das, et al. ∙

∙ 12/03/2018

A Survey on Semantic Parsing

A significant amount of information in today's world is stored in struct...

0 Aishwarya Kamath, et al. ∙

∙ 10/12/2018

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension

We propose a neural machine-reading model that constructs dynamic knowle...

0 Rajarshi Das, et al. ∙

∙ 06/01/2018

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

The recent work of Clark et al. introduces the AI2 Reasoning Challenge (...

2 Michael Boratko, et al. ∙

∙ 04/27/2018

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

This paper aims at improving how machines can answer questions directly ...

0 Martin Raison, et al. ∙

∙ 11/15/2017

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

Knowledge bases (KB), both automatically and manually constructed, are o...

0 Rajarshi Das, et al. ∙

∙ 04/27/2017

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

Existing question answering methods infer answers either from a knowledg...

0 Rajarshi Das, et al. ∙

∙ 07/05/2016

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

Our goal is to combine the rich multistep inference of symbolic logical ...

0 Rajarshi Das, et al. ∙

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