Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics-Reference-Cited by-同舟云学术

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Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics

Published:2024-06-30 Issue: Volume:33 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Yuan Mingcai¹,Lu Qiang¹,Zeng Xianhao¹,Luo Jake²,Li Dawei³

Affiliation:

1. China University of Petroleum, Beijing,School of Information Science and Engineering,Beijing,China

2. University of Wisconsin Milwaukee,Department of Health Informatics and Administration,Milwaukee,United States

3. Research Institute of Petroleum Exploration and Development,Oil and Gas Resources Exploration Institute,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651324.pdf?arnumber=10651324

Reference27 articles.

1. Variational Reasoning for Question Answering With Knowledge Graph

2. Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases

3. Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals

4. Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

5. PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

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