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pro vyhledávání: '"Lin, Xiexiong"'
Autor:
Li, Mingzhe, Lin, XieXiong, Chen, Xiuying, Chang, Jinxiong, Zhang, Qishen, Wang, Feng, Wang, Taifeng, Liu, Zhongyi, Chu, Wei, Zhao, Dongyan, Yan, Rui
Contrastive learning has achieved impressive success in generation tasks to militate the "exposure bias" problem and discriminatively exploit the different quality of references. Existing works mostly focus on contrastive learning on the instance-lev
Externí odkaz:
http://arxiv.org/abs/2205.13346
Knowledge graph (KG) embedding methods which map entities and relations to unique embeddings in the KG have shown promising results on many reasoning tasks. However, the same embedding dimension for both dense entities and sparse entities will cause
Externí odkaz:
http://arxiv.org/abs/2204.13957
Publikováno v:
ACL
Knowledge-driven conversation approaches have achieved remarkable research attention recently. However, generating an informative response with multiple relevant knowledge without losing fluency and coherence is still one of the main challenges. To a