Data Augmentation for Neural Online Chat Response Selection

3 Sep 2018 Wenchao Du Alan W. black

Data augmentation seeks to manipulate the available data for training to improve the generalization ability of models. We investigate two data augmentation proxies, permutation and flipping, for neural dialog response selection task on various models over multiple datasets, including both Chinese and English languages... (read more)

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