Probabilistic Graphical Models

Chinese named entity recognition (NER) has re- cently been viewed as a classification or sequence labeling problem, and many approaches have been proposed. However, they tend to address this problem …...

We propose a new integrated approach based on Markov logic networks (MLNs), an effective com- bination of probabilistic graphical models and first- order logic for statistical relational learning, to ex- …...

AbstractDialogue state tracking (DST) is an important part of a spoken dialogue system. Existing DST models either ignore temporal feature dependencies across dialogue turns or fail to explicitly model temporal …...