[HTML][HTML] A systematic literature review of reinforcement learning-based knowledge graph research
Abstract Knowledge graphs (KGs) model entities or concepts and their relations in a
structural manner. The incompleteness has turned out to be the main challenge that hinders …
structural manner. The incompleteness has turned out to be the main challenge that hinders …
A survey on complex knowledge base question answering: Methods, challenges and solutions
Knowledge base question answering (KBQA) aims to answer a question over a knowledge
base (KB). Recently, a large number of studies focus on semantically or syntactically …
base (KB). Recently, a large number of studies focus on semantically or syntactically …
Lego: Latent execution-guided reasoning for multi-hop question answering on knowledge graphs
Answering complex natural language questions on knowledge graphs (KGQA) is a
challenging task. It requires reasoning with the input natural language questions as well as …
challenging task. It requires reasoning with the input natural language questions as well as …
Advancements in complex knowledge graph question answering: a survey
Y Song, W Li, G Dai, X Shang - Electronics, 2023 - mdpi.com
Complex Question Answering over Knowledge Graph (C-KGQA) seeks to solve complex
questions using knowledge graphs. Currently, KGQA systems achieve great success in …
questions using knowledge graphs. Currently, KGQA systems achieve great success in …
Subgraph retrieval enhanced model for multi-hop knowledge base question answering
Recent works on knowledge base question answering (KBQA) retrieve subgraphs for easier
reasoning. A desired subgraph is crucial as a small one may exclude the answer but a large …
reasoning. A desired subgraph is crucial as a small one may exclude the answer but a large …
Complex knowledge base question answering: A survey
Knowledge base question answering (KBQA) aims to answer a question over a knowledge
base (KB). Early studies mainly focused on answering simple questions over KBs and …
base (KB). Early studies mainly focused on answering simple questions over KBs and …
ARL: An adaptive reinforcement learning framework for complex question answering over knowledge base
Q Zhang, X Weng, G Zhou, Y Zhang… - Information Processing & …, 2022 - Elsevier
Abstract Recently, reinforcement learning (RL)-based methods have achieved remarkable
progress in both effectiveness and interpretability for complex question answering over …
progress in both effectiveness and interpretability for complex question answering over …
Knowledge base question answering: A semantic parsing perspective
Recent advances in deep learning have greatly propelled the research on semantic parsing.
Improvement has since been made in many downstream tasks, including natural language …
Improvement has since been made in many downstream tasks, including natural language …
Unrestricted multi-hop reasoning network for interpretable question answering over knowledge graph
Abstract Knowledge graphs significantly boost the answer retrieval quality for natural
language questions. The knowledge graph based question answering (KGQA) task returns …
language questions. The knowledge graph based question answering (KGQA) task returns …
[HTML][HTML] A hereditary attentive template-based approach for complex knowledge base question answering systems
J Gomes Jr, RC de Mello, V Ströele… - Expert Systems with …, 2022 - Elsevier
Abstract Knowledge Base Question Answering systems (KBQA) aim to find answers to
natural language questions over a knowledge base. This work presents a template matching …
natural language questions over a knowledge base. This work presents a template matching …