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Multi-view Discriminative Sequential Learning
[chapter]
2005
Lecture Notes in Computer Science
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other tasks of discrimination. However, semi-supervised learning mechanisms that utilize inexpensive unlabeled sequences in addition to few labeled sequences -such as the Baum-Welch algorithm -are available only for generative models. The multi-view approach is based on the principle of maximizing the consensus among multiple
doi:10.1007/11564096_11
fatcat:mmsndpu65rdcjklv3ztr575jki