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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 41–50 of 136 papers

TitleStatusHype
Calculating Question Similarity is Enough: A New Method for KBQA Tasks—0
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering—0
ARCNN: A Semantic Enhanced Relation Detection Model for Knowledge Base Question Answering—0
A Method of Query Graph Reranking for Knowledge Base Question Answering—0
A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering—0
Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering—0
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering—0
Better Query Graph Selection for Knowledge Base Question Answering—0
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base—0
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata—0
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