Beating the Teacher: Neural Ranking Models with Weak Supervision – Mostafa Dehghani
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Main Idea: To leverage large amounts of unsupervised data to infer “weak” labels and use that signal for learning supervised models as if we had the ground truth labels. Blog post about [this paper](/doc/?uri=https%3A%2F%2Farxiv.org%2Fabs%2F1704.08803)
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