SGM: Sequence Generation Model for Multi-label Classification

COLING 2018 Pengcheng YangXu SunWei LiShuming MaWei WuHoufeng Wang

Multi-label classification is an important yet challenging task in natural language processing. It is more complex than single-label classification in that the labels tend to be correlated... (read more)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.