A Survey: Complex Knowledge Base Question Answering
Author:
Affiliation:
1. Rocket Force University of Engineering,Combat Support College,Xi'an,China
2. National University of Defense Technology,School of Information and Communication,Wuhan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9828865/9828867/09828967.pdf?arnumber=9828967
Reference75 articles.
1. Scalable neural methods for reasoning with a symbolic knowledge base[J];cohen,2020
2. Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases
3. Key-Value Memory Networks for Directly Reading Documents
4. Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering
5. Never-Ending Learning for Open-Domain Question Answering over Knowledge Bases
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1. Improving the Consistency of Semantic Parsing in KBQA Through Knowledge Distillation;Lecture Notes in Computer Science;2024
2. Structural Bias in Knowledge Graphs for the Entity Alignment Task;The Semantic Web;2023
3. Multi-granularity Hierarchical Feature Extraction for Question-Answering Understanding;Cognitive Computation;2022-12-26
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