8 citations · 13 across the 5 of their papers we have counts for
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cs.CL2023
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary
Xiaokang Liu, Jianquan Li, Jingjing Mu +3
Open intent classification, which aims to correctly classify the known intents into their corresponding classes while identifying the new unknown (open) intents, is an essential bu…
cs.CL2023★ 8 cited
Contrastive variational information bottleneck for aspect-based sentiment analysis
Mingshan Chang, Min Yang, Qingshan Jiang +1
Deep learning techniques have dominated the literature on aspect-based sentiment analysis (ABSA), achieving state-of-the-art performance. However, deep models generally suffer from…