Latent tree models for hierarchical topic detection

DOI10.1016/j.artint.2017.06.004zbMath1419.68087arXiv1605.06650OpenAlexW2962967218MaRDI QIDQ1680683

Leonard K. M. Poon, Peixian Chen, Tengfei Liu, Farhan Khawar, Zhourong Chen, Nevin Lianwen Zhang

Publication date: 16 November 2017

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1605.06650

zbMATH Keywords

probabilistic graphical modelstext analysishierarchical latent tree analysishierarchical topic detection

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Natural language processing (68T50)

Related Items (1)

UC-LTM: unidimensional clustering using latent tree models for discrete data

Uses Software

• PMTK
• word2vec

Cites Work

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• Biological Sequence Analysis
• 10.1162/jmlr.2003.3.4-5.993
• On-line EM Algorithm for the Normalized Gaussian Network
• A Survey on Latent Tree Models and Applications
• Learning Latent Tree Graphical Models
• Elements of Information Theory
• Approximating discrete probability distributions with dependence trees

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