Papers by Ceyda Cinarel
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings (D19-1)
Copied to clipboard
| Challenge: | Pretrained word embeddings outperforms classifiers with randomly initialized word embeds, a new method is proposed for semi-supervised text classification. |
| Approach: | They propose a method that uses pretrained word embeddings to predict text classification . they use unlabeled data to build a classifier, and use early-stopping to improve performance . |
| Outcome: | The proposed method outperforms self-training and co-training frameworks on unlabeled data. |