MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension

@inproceedings{Jin2020MMMMM,
  title={MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension},
  author={Di Jin and Shuyang Gao and Jiun-Yu Kao and Tagyoung Chung and Dilek Z. Hakkani-T{\"u}r},
  booktitle={AAAI},
  year={2020}
}
Machine Reading Comprehension (MRC) for question answering (QA), which aims to answer a question given the relevant context passages, is an important way to test the ability of intelligence systems to understand human language. Multiple-Choice QA (MCQA) is one of the most difficult tasks in MRC because it often requires more advanced reading comprehension skills such as logical reasoning, summarization, and arithmetic operations, compared to the extractive counterpart where answers are usually… Expand
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