WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding

WALNUT is a benchmark for semi-weakly supervised learning for natural language understanding. It consists of 8 NLU tasks with different types, including document-level and token-level prediction tasks.

Data and Resources

Cite this as

Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah (2024). Dataset: WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding. https://doi.org/10.57702/38cjkr9b

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2108.12603
Author Guoqing Zheng
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Giannis Karamanolakis
Kai Shu
Ahmed Hassan Awadallah
Homepage https://aka.ms/walnut_benchmark