Deduplicating Training Data Makes Language Models Better.
Katherine LeeDaphne IppolitoAndrew NystromChiyuan ZhangDouglas EckChris Callison-BurchNicholas CarliniPublished in: CoRR (2021)
Keyphrases
- language model
- training data
- language modeling
- document retrieval
- n gram
- probabilistic model
- information retrieval
- speech recognition
- language modelling
- query expansion
- test collection
- statistical language models
- retrieval model
- decision trees
- context sensitive
- training set
- pseudo relevance feedback
- smoothing methods
- translation model
- ad hoc information retrieval
- vector space model
- document ranking
- supervised learning
- classification accuracy
- language models for information retrieval
- language model for information retrieval
- knn
- relevance model
- term dependencies
- document length