Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
Zhijing JinJulius von KügelgenJingwei NiTejas VaidhyaAyush KaushalMrinmaya SachanBernhard SchölkopfPublished in: CoRR (2021)
Keyphrases
- data collection
- reinforcement learning
- online learning
- learning systems
- natural language processing
- learning algorithm
- causal theories
- causal structure
- causal discovery
- qualitative models
- learning problems
- supervised learning
- learning process
- natural language
- artificial intelligence
- learning tasks
- inductive inference
- learning environment
- databases
- causal inferences