Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models.
Han LiuBingning WangTing YaoHaijin LiangJianjin XuXiaolin HuPublished in: CoRR (2022)
Keyphrases
- language model
- language modeling
- probabilistic model
- bayesian networks
- n gram
- statistical language models
- language modelling
- speech recognition
- retrieval model
- document retrieval
- query expansion
- dirichlet prior
- information retrieval
- ad hoc information retrieval
- context sensitive
- document ranking
- language model for information retrieval
- test collection
- vector space model
- translation model
- mixture model
- maximum likelihood
- relevance model
- smoothing methods
- pseudo relevance feedback
- text retrieval
- training set
- term frequency
- query terms