Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge.
Ian PoradaAlessandro SordoniJackie Chi Kit CheungPublished in: CoRR (2021)
Keyphrases
- language model
- commonsense knowledge
- language modeling
- probabilistic model
- document retrieval
- commonsense reasoning
- language modelling
- statistical language models
- query expansion
- retrieval model
- n gram
- speech recognition
- information retrieval
- language understanding
- information gathering
- test collection
- bayesian networks
- document ranking
- language models for information retrieval
- statistical language modeling
- belief networks
- relevance model
- probabilistic inference
- smoothing methods
- active learning
- automated reasoning
- nonmonotonic reasoning
- graphical models
- hidden markov models
- probabilistic reasoning
- machine learning
- theorem proving