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cs.CL2017
A Novel Document Generation Process for Topic Detection based on Hierarchical Latent Tree Models
Peixian Chen, Zhourong Chen, Nevin L. Zhang
We propose a novel document generation process based on hierarchical latent tree models (HLTMs) learned from data. An HLTM has a layer of observed word variables at the bottom and…
cs.CL2016★ 4 cited
Latent Tree Models for Hierarchical Topic Detection
Peixian Chen, Nevin L. Zhang, Tengfei Liu +3
We present a novel method for hierarchical topic detection where topics are obtained by clustering documents in multiple ways. Specifically, we model document collections using a c…