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.

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We propose a unified model for Named entity recognition in Chinese social media

Abstract:

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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