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Training NLP systems typically assumes access to annotated data that has a single human label per example.
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
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Attention is all you need
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Do we need to create big datasets to learn a task?
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What can we learn from collective human opinions on natural language inference data?
Yixin Nie, Xiang Zhou, and Mohit Bansal. 2020 · 2020
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Transformers: State-of-the-art natural language processing
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Did they answer? subjective acts and intents in conversational discourse
Elisa Ferracane, Greg Durrett, Junyi Jessy Li, and Katrin Erk. 2021 · 2021
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Distributed nli: Learning to predict human opinion distributions for language reasoning
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