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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 71–80 of 136 papers

TitleStatusHype
ARCNN: A Semantic Enhanced Relation Detection Model for Knowledge Base Question Answering—0
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering—0
Calculating Question Similarity is Enough: A New Method for KBQA Tasks—0
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata—0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation—0
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering—0
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base—0
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge GraphsCode1
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings—0
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