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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Wang et al., 2019, GLUE (7th International Conference on Learning Representations (ICLR 2019))

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2 Related Work

  1. How does GLUE differ from decaNLP?
    decaNLP recasts ten tasks (including summarization and text-to-SQL) as question answering, pursuing the ambitious goal of unifying NLU as QA. GLUE rewards good performance on a circumscribed set of classification and regression tasks with current methods, and adds a leaderboard and diagnostic toolkit.
    • Wang et al., 2019, GLUE (7th International Conference on Learning Representations (ICLR 2019)), §2

Source

  • Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy and Samuel R. Bowman. 2019. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. In 7th International Conference on Learning Representations (ICLR 2019). https://openreview.net/forum?id=rJ4km2R5t7