A bag-of-seed-words teacher distills soft labels into a neural student, and iterative co-training reweights noisy seed words, beating prior weakly supervised aspect detectors by about 14 F1 points on average.
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Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training
A bag-of-seed-words teacher distills soft labels into a neural student, and iterative co-training reweights noisy seed words, beating prior weakly supervised aspect detectors by about 14 F1 points on average.