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Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
Zhijing Jin
Julius von Kügelgen
Jingwei Ni
Tejas Vaidhya
Ayush Kaushal
Mrinmaya Sachan
Bernhard Schölkopf
Published in:
EMNLP (1) (2021)
Keyphrases
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data collection
learning algorithm
reinforcement learning
causal structure
prior knowledge
online learning
learning systems
information retrieval
natural language processing
graphical models
causal bayesian networks
bayesian networks
active learning
supervised learning
text mining
causal inferences