Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets

29 Jul 2019Victor BouvierPhilippe VeryCéline HudelotClément Chastagnol

Learning representations which remain invariant to a nuisance factor has a great interest in Domain Adaptation, Transfer Learning, and Fair Machine Learning. Finding such representations becomes highly challenging in NLP tasks since the nuisance factor is entangled in a raw text... (read more)

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