To some extent, our model is similar to Semi-Markov Conditional Random Fields (called a Semi-CRF), in which the segmentation and labeling can also be done directly (Sarawagi and Cohen, 2004).
semi-CRF just models label dependency, and it cannot capture more correlations between adjacent chunks, as is done in our approach.