Bayesian nonparametric modeling of hierarchical topics and sentences

Automatically scoring the sentences of multiple documents plays an important role for document summarization. This study presents a new Bayesian nonparametric approach to conduct unsupervised learning of a hierarchical topic and sentence model (HTSM). This HTSM discovers an extended hierarchy in the nested Chinese restaurant process (nCRP) where each… (More)