A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media
THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp. 3216-3222, 2017.
We propose a unified model for Named entity recognition in Chinese social media
Named entity recognition (NER) in Chinese social media is important but difficult because of its informality and strong noise. Previous methods only focus on in-domain supervised learning which is limited by the rare annotated data. However, there are enough corpora in formal domains and massive in-domain unannotated texts which can be us...More
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