11 citations · 20 across the 2 of their papers we have counts for
5 papers
Case-based Reasoning for Natural Language Queries over Knowledge Bases
Rajarshi Das, Manzil Zaheer, Dung Thai +6
It is often challenging to solve a complex problem from scratch, but much easier if we can access other similar problems with their solutions -- a paradigm known as case-based reas…
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion
Rajarshi Das, Ameya Godbole, Nicholas Monath +2
A case-based reasoning (CBR) system solves a new problem by retrieving `cases' that are similar to the given problem. If such a system can achieve high accuracy, it is appealing ow…
A Simple Approach to Case-Based Reasoning in Knowledge Bases
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala +2
We present a surprisingly simple yet accurate approach to reasoning in knowledge graphs (KGs) that requires \emph{no training}, and is reminiscent of case-based reasoning in classi…
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
Ameya Godbole, Dilip Kavarthapu, Rajarshi Das +8
Multi-hop question answering (QA) requires an information retrieval (IR) system that can find \emph{multiple} supporting evidence needed to answer the question, making the retrieva…
Siamese Neural Networks with Random Forest for detecting duplicate question pairs
Ameya Godbole, Aman Dalmia, Sunil Kumar Sahu
Determining whether two given questions are semantically similar is a fairly challenging task given the different structures and forms that the questions can take. In this paper, w…