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LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. (arXiv:2205.12528v1 [cs.CL])
May 26, 2022, 1:12 a.m. | Dheeraj Mekala, Chengyu Dong, Jingbo Shang
cs.CL updates on arXiv.org arxiv.org
Weakly supervised text classification methods typically train a deep neural
classifier based on pseudo-labels. The quality of pseudo-labels is crucial to
final performance but they are inevitably noisy due to their heuristic nature,
so selecting the correct ones has a huge potential for performance boost. One
straightforward solution is to select samples based on the softmax probability
scores in the neural classifier corresponding to their pseudo-labels. However,
we show through our experiments that such solutions are ineffective and
unstable due …
More from arxiv.org / cs.CL updates on arXiv.org
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