SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning-Reference-Cited by-同舟云学术

SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning

Published:2022-07-09 Issue:6 Volume:53 Page:6569-6584
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhang Bosen,Xu Yajing^ORCID,Li Jinglei,Wang Shusen,Ren Boya,Gao Sheng

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03596-z.pdf

Reference36 articles.

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4. Chen C, Li C (2021) ZS-BERT: towards zero-shot relation extraction with attribute representation learning. In: Toutanova K, Rumshisky A, Zettlemoyer L, et al (eds) Proceedings of the 2021 conference of the north american chapter of the association for computational linguistics: human language technologies, naacl-hlt 2021, online, June 6-11, 2021. association for computational linguistics. https://doi.org/10.18653/v1/2021.naacl-main.272, pp 3470–3479

5. Chen M, Zhang W, Zhang W et al (2019) Meta relational learning for few-shot link prediction in knowledge graphs. In: Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (emnlp-ijcnlp). association for computational linguistics, Hong Kong, China. https://doi.org/10.18653/v1/D19-1431. https://www.aclweb.org/anthology/D19-1431, pp 4217–4226

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