Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. (arXiv:2206.13980v1 [cs.CL])

Multi-label aspect category detection allows a given review sentence to
contain multiple aspect categories, which is shown to be more practical in
sentiment analysis and attracting increasing attention. As annotating large
amounts of data is time-consuming and labor-intensive, data scarcity occurs
frequently in real-world scenarios, which motivates multi-label few-shot aspect
category detection. However, research on this problem is still in infancy and
few methods are available. In this paper, we propose a novel label-enhanced
prototypical network (LPN) for multi-label few-shot …

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