Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model.
THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE(2018)
摘要
Named entity recognition (NER) in Chinese social media is an important, but challenging task because Chinese social media language is informal and noisy. Most previous methods on NER focus on in-domain supervised learning, which is limited by scarce annotated data in social media. In this paper, we present that sufficient corpora in formal domains and massive unannotated text can be combined to im...
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关键词
Training,Social network services,Task analysis,Semisupervised learning,Kernel,Speech processing,Predictive models
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