Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering Over Knowledge Graph-Reference-Cited by-同舟云学术

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Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering Over Knowledge Graph

Published:2024-04-14 Issue: Volume: Page:10331-10335
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Huang Rikui¹,Wei Wei²,Qu Xiaoye²,Xie Wenfeng³,Mao Xianling⁴,Chen Dangyang³

Affiliation:

1. Huazhong University of Science and Technology,Institute of Artificial Intelligence

2. Huazhong University of Science and Technology,School of Computer Science & Technology

3. Ping An Property & Casualty Insurance Company of China, Ltd,Shenzhen,China

4. Beijing Institute of Technology,School of Computer Science & Technology,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447439.pdf?arnumber=10447439

Reference24 articles.

1. A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

2. Two flexible translation-based models for knowledge graph embedding

3. A performant and incremental algorithm for knowledge graph entity typing

4. Question Answering Over Temporal Knowledge Graphs

5. TempoQR: Temporal Question Reasoning over Knowledge Graphs

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