activity
20182024
most citedLogical Neural Networks

84 citations · 99 across the 7 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2024

An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants

G P Shrivatsa Bhargav, Sumit Neelam, Udit Sharma +10

We present an approach to build Large Language Model (LLM) based slot-filling system to perform Dialogue State Tracking in conversational assistants serving across a wide variety o…

cs.CL20221 cited

Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases

Nithish Kannen, Udit Sharma, Sumit Neelam +4

Knowledge Base Question Answering (KBQA) systems have the goal of answering complex natural language questions by reasoning over relevant facts retrieved from Knowledge Bases (KB).…

cs.CL20227 cited

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases

Sumit Neelam, Udit Sharma, Hima Karanam +22

Knowledge Base Question Answering (KBQA) tasks that involve complex reasoning are emerging as an important research direction. However, most existing KBQA datasets focus primarily…

cs.CL20214 cited

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases

Sumit Neelam, Udit Sharma, Hima Karanam +21

Knowledge Base Question Answering (KBQA) tasks that in-volve complex reasoning are emerging as an important re-search direction. However, most KBQA systems struggle withgeneralizab…

cs.CL2020

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering

Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar +27

Knowledge base question answering (KBQA)is an important task in Natural Language Processing. Existing approaches face significant challenges including complex question understandin…

cs.CL2018

Document Structure Measure for Hypernym discovery

Aswin Kannan, Shanmukha C Guttula, Balaji Ganesan +2

Hypernym discovery is the problem of finding terms that have is-a relationship with a given term. We introduce a new context type, and a relatedness measure to differentiate hypern…