Continual Few-Shot Relation Learning Via Dynamic Margin Loss and Space Recall-Reference-Cited by-同舟云学术

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Continual Few-Shot Relation Learning Via Dynamic Margin Loss and Space Recall

Published:2024-02-02 Issue: Volume:1 Page:492-497
ISSN:
Container-title:Proceedings of the 2024 16th International Conference on Machine Learning and Computing
language:
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Author:

Li Yongbing¹^ORCID,Duan Pengfei¹^ORCID,Rong Yi²^ORCID,Yang Yiwen¹^ORCID,Wang Aoxing¹^ORCID

Affiliation:

1. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, China

2. Sanya Science and Education Innovation Park, Wuhan University of Technology, China and School of Computer Science and Artificial Intelligence, Wuhan University of Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3651671.3651749

Reference24 articles.

1. Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding

2. Modeling Relational Data with Graph Convolutional Networks

3. Zeng, D., Liu, K., Lai, S., Zhou, G., & Zhao, J.: Relation classification via convolutional deep neural network. In: Proceedings of COLING 2014, the 25th international conference on computational linguistics: technical papers, pp.2335-2344, 2014.

4. Sentence Embedding Alignment for Lifelong Relation Extraction

5. McCloskey M, Cohen N J.: Catastrophic interference in connectionist networks: The sequential learning problem. In: Psychology of learning and motivation, pp.109-165, 1989.

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