Importance Weighting
method
ID: importanceweighting
Related Papers
Importance weighting and unsupervised domain adaptation of POS taggers: a negative result
Importance weighting is a generalization of various statistical bias correction tech- niques. While our labeled data in NLP is heavily biased, importance weighting has seen only few applications in NLP, …...
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AbstractCurrent state-of-the-art neural dialogue models learn from human conversations following the data-driven paradigm. As such, a reliable training corpus is the crux of building a robust and well-behaved dialogue model. …...