SOTAVerified

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 76–100 of 136 papers

TitleStatusHype
Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering—0
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation—0
Learning to Transpile AMR into SPARQL—0
Learning to Transpile AMR into SPARQL—0
Make a Choice! Knowledge Base Question Answering with In-Context Learning—0
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection—0
MCTS-KBQA: Monte Carlo Tree Search 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
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
Multi-Instance Learning for End-to-End Knowledge Base Question Answering—0
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases—0
TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data—0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes—0
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings—0
A Survey on Semantic Parsing from the perspective of Compositionality—0
Pay More Attention to Relation Exploration for Knowledge Base Question Answering—0
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption—0
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering—0
QAF: Frame Semantics-based Question Interpretation—0
Question Answering on Scholarly Knowledge Graphs—0
Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases—0
Question Answering over Knowledge Base using Factual Memory Networks—0
Question Answering over Knowledge Base using Language Model Embeddings—0
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