Papers with bootstrap training
Prototype-Representations for Training Data Filtering in Weakly-Supervised Information Extraction (2022.emnlp-industry)
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| Challenge: | Weak supervision and data programming are powerful tools to support information extraction models. |
| Approach: | They propose a prototype-based method to denoise weakly supervised training data . they use a model to model the correct contexts for a given target value . |
| Outcome: | The proposed method achieves 9% accuracy gain in attribute value extraction in e-commerce websites. |
Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing (2022.lrec-1)
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| Challenge: | A variety of hierarchical RNN models have been proposed to incorporate hierarchically-based hierarchic information in modeling languages in the literature. |
| Approach: | They propose a latent indicator layer approach to identify and learn hierarchical information and develop an EM algorithm to handle the latent indicators layer in training. |
| Outcome: | The proposed approach outperforms other RNN-based models in document classification tasks. |