Paragraph vector based topic model for language model adaptation.
Wengong JinTianxing HeYanmin QianKai YuPublished in: INTERSPEECH (2015)
Keyphrases
- topic models
- latent dirichlet allocation
- topic modeling
- text documents
- baseline models
- generative model
- co occurrence
- latent topics
- text mining
- latent variables
- topic discovery
- gibbs sampling
- variational inference
- probabilistic model
- feature vectors
- natural language
- text corpora
- machine learning
- knowledge representation
- probabilistic topic models
- maximum entropy
- data mining
- information extraction