CausaLM: Causal Model Explanation Through Counterfactual Language Models.
Amir FederNadav OvedUri ShalitRoi ReichartPublished in: CoRR (2020)
Keyphrases
- language model
- causal models
- causal reasoning
- language modeling
- probabilistic model
- n gram
- structural model
- query expansion
- speech recognition
- conditional independence
- causal discovery
- document retrieval
- causal relationships
- context sensitive
- physical systems
- information retrieval
- retrieval model
- vector space model
- directed acyclic graph
- statistical language models
- ad hoc information retrieval
- test collection
- causal structure
- query terms
- translation model
- language modelling
- smoothing methods
- document ranking
- observed variables
- machine learning
- image retrieval
- pseudo relevance feedback
- information retrieval systems
- language model for information retrieval