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Knowledge Base Question Answering

Knowledge Base Q&A is the task of answering questions from a knowledge base.

( Image credit: Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering )

Papers

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Showing 111–120 of 136 papers

TitleStatusHype
Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts—0
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base—0
SAKA: An Intelligent Platform for Semi-automated Knowledge Graph Construction and Application—0
Type Prediction Systems—0
Semantic Answer Type and Relation Prediction Task (SMART 2021)—0
An In-Context Schema Understanding Method for Knowledge Base Question Answering—0
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering—0
Exploiting Rich Syntax for Better Knowledge Base Question Answering—0
Few-shot Multi-hop Question Answering over Knowledge Base—0
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering—0
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