🧑‍🔬 Who cites Yutai Hou

147 citations of their works from 144 papers of our library (of the 141,840 whose bibliographies we read) · 13 with a page here, the most cited first · ← Yutai Hou

1. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 937 citations
   Document-Level Event Argument Extraction by Conditional GenerationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sha Li, Heng Ji, Jiawei Han2021 · 432 citations
   Few-NERD: A Few-shot Named Entity Recognition DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Ning Ding, Guangwei Xu, Yulin Chen, et al.2021 · 335 citations
   Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Yi Yang, Arzoo Katiyar2020 · 291 citations
   GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationFindings of the Association for Computational LinguisticsKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 268 citations
   An Analysis of Simple Data Augmentation for Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Xiang Dai, Heike Adel2020 · 266 citations
   Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Yutai Hou, Wanxiang Che, Yongkui Lai, et al.2020 · 265 citations
   CorefQA: Coreference Resolution as Query-based Span PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Wu, Fei Wang, Arianna Yuan, et al.2020 · 254 citations
   CONTaiNER: Few-Shot Named Entity Recognition via Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al.2022 · 233 citations
   Improved Lexically Constrained Decoding for Translation and Monolingual RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)J. Edward Hu, Huda Khayrallah, Ryan Culkin, et al.2019 · 198 citations
   Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human InterventionsAnnual Meeting of the Association for Computational Linguistics (ACL)John Chung, Ece Kamar, Saleema Amershi2023 · 141 citations
   Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text ClassificationIEEE AccessDania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman2022 · 35 citations
   Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory VisualizationLanguage Resources and Evaluation Conference (LREC)Abhinav Kumar, Barbara Di Eugenio, Jillian Aurisano, et al.2020 · 3 citations

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