text augmentation

Word-level Perturbation Considering Word Length and Compositional Subwords ACL 2022 AEDA: An Easier Data Augmentation Technique for Text Classification EMNLP 2021 BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data SemEval 2021 GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation EMNLP 2021 mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation ACL 2021 Neural Data-to-Text Generation with LM-based Text Augmentation EACL 2021 Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models ACL 2021 Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems EMNLP 2021 Text Augmentation for Language Models in High Error Recognition Scenario Interspeech 2021 Text Augmentation Techniques in Drug Adverse Effect Detection Task NAACL 2021 A Robust Adversarial Training Approach to Machine Reading Comprehension AAAI 2020 GenAug: Data Augmentation for Finetuning Text Generators EMNLP 2020 Improving Code-Switching Language Modeling with Artificially Generated Texts Using Cycle-Consistent Adversarial Networks Interspeech 2020 SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection SemEval 2020 Towards Reversal-Based Textual Data Augmentation for NLI Problems with Opposable Classes ACL 2020 Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange EMNLP 2019 Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs EMNLP 2018