Dynamic Topic Modeling by Clustering Embeddings from Pretrained Language Models: A Research Proposal.
Anton EklundMona ForsmanFrank DrewesPublished in: AACL/IJCNLP 2022 (Student Research Workshop) (2022)
Keyphrases
- language model
- topic modeling
- topic models
- language modeling
- probabilistic model
- language modeling framework
- information retrieval
- retrieval model
- latent dirichlet allocation
- clustering method
- document retrieval
- n gram
- language models for information retrieval
- probabilistic latent semantic analysis
- query expansion
- clustering algorithm
- text mining
- text classification
- collaborative filtering
- smoothing methods
- relevance model
- vector space model
- data mining
- generative model
- k means
- query terms
- data points
- test collection
- high dimensional data
- low dimensional
- prior knowledge
- keywords
- information extraction
- machine learning