🔗 Who cites «Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding»

64 papers of our library cite it (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding»

1. A Survey of Data Augmentation Approaches for NLPSteven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 937 citations
2. GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 268 citations
3. An Analysis of Simple Data Augmentation for Named Entity RecognitionXiang Dai, Heike Adel2020 · 266 citations
4. Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection NetworkYutai Hou, Wanxiang Che, Yongkui Lai, et al.2020 · 265 citations
5. CorefQA: Coreference Resolution as Query-based Span PredictionWei Wu, Fei Wang, Arianna Yuan, et al.2020 · 254 citations
6. Improved Lexically Constrained Decoding for Translation and Monolingual RewritingJ. Edward Hu, Huda Khayrallah, Ryan Culkin, et al.2019 · 198 citations
7. Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human InterventionsJohn Chung, Ece Kamar, Saleema Amershi2023 · 141 citations
8. Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text ClassificationDania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman2022 · 35 citations
9. Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory VisualizationAbhinav Kumar, Barbara Di Eugenio, Jillian Aurisano, et al.2020 · 3 citations

55 more papers of our library cite it; they have no page here yet.

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