Hybrid neural conditional random fields for multi-view sequence labeling

Xuli Sun
Xuli Sun
Minzhi Yin
Minzhi Yin
Hao Yang
Hao Yang

Knowledge-Based Systems, pp. 1051512020.

Cited by: 5|Views9
EI

Abstract:

In traditional machine learning, conditional random fields (CRF) is the mainstream probability model for sequence labeling problems. CRF considers the relation between adjacent labels other than decoding each label independently, and better performance is expected to achieve. However, there are few multi-view learning methods involving CR...More

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