Examining the Inductive Bias of Neural Language Models with Artificial Languages.
Jennifer C. WhiteRyan CotterellPublished in: CoRR (2021)
Keyphrases
- language model
- inductive bias
- language modeling
- cross lingual
- n gram
- machine learning
- inductive learning
- probabilistic model
- document retrieval
- retrieval model
- hypothesis space
- information retrieval
- pac learning
- smoothing methods
- domain knowledge
- prior knowledge
- query expansion
- language models for information retrieval
- supervised learning
- translation model
- multitask learning
- domain theory
- training examples
- context sensitive
- training data
- relevance model
- small number
- training set
- feature selection
- learning algorithm