Papers with per-domain sampling

1 papers
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering (D19-58)

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Challenge: XLNet model is domain-agnostic for the MRQA 2019 Shared Task . a negative sampling technique is particularly effective for datasets that include unanswerable questions .
Approach: They develop a domain-agnostic question answering model for the MRQA 2019 Shared Task . they use large pre-trained language models, various data sampling strategies and query and context paraphrases generated by back-translation .
Outcome: The proposed model achieves second best Exact Match and F1 in the MRQA leaderboard competition.

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