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Simpson's Bias in NLP Training
In most machine learning tasks, we evaluate a model M on a given data po...
03/13/2021 ∙ by Fei Yuan, et al. ∙
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Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding
Question Aware Open Information Extraction (Question aware Open IE) take...
09/16/2020 ∙ by Martin Kuo, et al. ∙
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Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
Natural Questions is a new challenging machine reading comprehension ben...
05/12/2020 ∙ by Bo Zheng, et al. ∙
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Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Multilingual pre-trained models could leverage the training data from a ...
04/29/2020 ∙ by Fei Yuan, et al. ∙
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XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
In this paper, we introduce XGLUE, a new benchmark dataset to train larg...
04/03/2020 ∙ by Yaobo Liang, et al. ∙
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Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
We present Unicoder, a universal language encoder that is insensitive to...
09/03/2019 ∙ by Haoyang Huang, et al. ∙
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