Contrastive Semantic Similarity Learning for Multi-Hop Question Answering over Event-Centric Knowledge Graphs-Reference-Cited by-同舟云学术

Contrastive Semantic Similarity Learning for Multi-Hop Question Answering over Event-Centric Knowledge Graphs

Published:2022-11-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)
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Author:

Tang Wei¹,Kong Qingchao¹,Mao Wenji¹,Wu Xiaofei²

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences,Beijing,China,100190

2. Beijing Wenge Technology Co., Ltd.,Beijing,China,100080

Funder

Ministry of Science and Technology

National Natural Science Foundation of China

Nova

Beijing Municipal Science and Technology Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10016307/10016308/10016335.pdf?arnumber=10016335

Reference22 articles.

1. Convolutional recurrent neural network with template based representation for complex question answering;reddy;International Journal of Computers and Electrical Engineering,2020

2. A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions

3. G2S: Semantic Segment Based Semantic Parsing for Question Answering over Knowledge Graph;gao;Tien Tzu Hsueh Pao,2021

4. BERT-based Semantic Query Graph Extraction for Knowledge Graph Question Answering;liang;CEUR-WS,2021

5. Modeling semantics with gated graph neural networks for knowledge base question answering;sorokin;Association for Computational Linguistics (ACL),2018

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