The Natural Language Decathlon: Multitask Learning as Question Answering

ICLR 2019 Bryan McCann • Nitish Shirish Keskar • Caiming Xiong • Richard Socher

Deep learning has improved performance on many natural language processing (NLP) tasks individually. Furthermore, we present a new Multitask Question Answering Network (MQAN) jointly learns all tasks in decaNLP without any task-specific modules or parameters in the multitask setting. Though designed for decaNLP, MQAN also achieves state of the art results on the WikiSQL semantic parsing task in the single-task setting.

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