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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

Showing 1120 of 136 papers

TitleStatusHype
Semantic Parsing with Candidate Expressions for Knowledge Base Question AnsweringCode0
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset ConstructionCode0
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World QuestionsCode2
SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in DecodingCode0
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering0
Robust Few-shot Transfer Learning for Knowledge Base Question Answering with Unanswerable Questions0
Temporal Knowledge Graph Question Answering: A Survey0
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection0
RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable QuestionsCode0
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