Authorless Topic Models: Biasing Models Away from Known Structure.
Laure ThompsonDavid MimnoPublished in: COLING (2018)
Keyphrases
- topic models
- topic modeling
- latent topic models
- probabilistic model
- latent dirichlet allocation
- probabilistic latent semantic analysis
- relevance model
- machine learning
- hierarchical bayesian model
- generative process
- probabilistic topic models
- variational inference
- hidden variables
- latent variables
- markov random field
- gibbs sampling
- latent topics
- prior knowledge
- latent factors
- text documents
- parameter estimation
- generative model