EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason Wei, Kai Zou. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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- Text Data Augmentation for Deep Learning→EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…Legacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
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- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→Mining and summarizing customer reviewsLegacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→A sentimental educationLegacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→Character-level Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
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- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→A sentimental educationLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Mining and summarizing customer reviewsLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Document Modeling with Gated Recurrent Neural Network for Sentiment Classification→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Document Modeling with Gated Recurrent Neural Network for Sentiment Classification→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- Text Data Augmentation for Deep Learning→WordNetLegacy edge — source detail unavailable
- Text Data Augmentation for Deep Learning→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Text Data Augmentation for Deep Learning | 2021 | 1,701 |
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Topics
| Topic Modeling | Computer Science |
| Natural Language Processing Techniques | Computer Science |
| Text and Document Classification Technologies | Computer Science |
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