Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data
SuttonCharles, McCallumAndrew, RohanimaneshKhashayar · Journal of Machine Learning Research · 2007
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when long-range dependencies ...