Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Meeting of the Association for Computational Linguistics, 2019.

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Abstract:

Natural Language Sentence Matching (NLSM) has gained substantial attention from both academics and the industry, and rich public datasets contribute a lot to this process. However, biased datasets can also hurt the generalization performance of trained models and give untrustworthy evaluation results. For many NLSM datasets, the provide...More

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