NLPAug Cited by

Workshops cited nlpaug

• S. Vajjala. NLP without a readymade labeled dataset at Toronto Machine Learning Summit, 2021. 2021

Book cited nlpaug

• S. Vajjala, B. Majumder, A. Gupta and H. Surana. Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems. 2020
• A. Bartoli and A. Fusiello. Computer Vision–ECCV 2020 Workshops. 2020

Research paper cited nlpaug

• M. Raghu and E. Schmidt. A Survey of Deep Learning for Scientific Discovery. 2020
• H. Guan, J. Li, H. Xu and M. Devarakonda. Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction. 2020
• X. He, K. Zhao and X. Chu. AutoML: A Survey of the State-of-the-Art. 2020
• S. Illium, R. Muller, A. Sedlmeier and C. Linnhoff-Popien. Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms. 2020
• D. Niederhut. A Python package for text data enrichment. 2020
• P. Ryan, S. Takafuji, C. Yang, N. Wilson and C. McBride. Using Self-Supervised Learning of Birdsong for Downstream Industrial Audio Classification. 2020
• Z. Shao, J. Yang and S. Ren. Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets. 2020
• S. Qiu, B. Xu, J. Zhang, Y. Wang, X. Shen, G. D. Melo, C. Long and X. Li EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks. 2020
• D. Nguyen, Q. H. Nguyen, M. Dao, D. Dang-Nguyen, C. Gurrin and B. T. Nguyen. Duplicate Identification Algorithms in SaaS Platforms. 2020
• A. Ollagnier and H. Williams. Text Augmentation Techniques for Clinical Case Classification. 2020
• V. Atliha and D. Šešok. Text Augmentation Using BERT for Image Captioning. 2020
• Y. Ma, X. Xu, and Y. Li. LungRN+NL: An Improved Adventitious Lung Sound Classification Using non-local block ResNet Neural Network with Mixup Data Augmentation. 2020
• S. N. Zisad, M. Shahadat and K. Andersson. Speech emotion recognition in neurological disorders using Convolutional Neural Network. 2020
• M. Bhange and N. Kasliwal. HinglishNLP: Fine-tuned Language Models for Hinglish Sentiment Detection. 2020
• T. Deruyttere, S. Vandenhende, D. Grujicic, Y. Liu, L. V. Gool, M. Blaschko, T. v and M. Moens. Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. 2020
• A. Tamkin, M. Wu and N. Goodman. Viewmaker Networks: Learning Views for Unsupervised Representation Learning. 2020
• A. Spiegel, V. Cheong, J E. Kaplan and A. Sanchez. MK-SQUIT: Synthesizing Questions using Iterative Template-Filling. 2020
• C. Zuo, N. Acharya and R. Banerjee. Querying Across Genres for Medical Claims in News. 2020
• A. Sengupta. DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks. 2020
• V. Awatramani and A. Kumar. Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation. 2020
• S. Gerani1, R. Tissot, A Ying, J. Redmon, A. Rimando and R. Hun. Reducing suicide contagion effect by detecting sentences from media reports with explicit methods of suicide. 2020
• B. Velichkov, S. Gerginov, P. Panayotov, S. Vassileva, G. Velchev, I. Koyche and S. Boytcheva. Automatic ICD-10 codes association to diagnosis: Bulgarian case. 2020
• T. Li, X. Chen, S. Zhang, Z. Dong and K. Keutzer. Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. 2020
• J. Mizgajski, A. Szymczak, M. Morzy, Ł. Augustyniak, P. Szymański and P. Żelasko. [Return on Investment in Machine Learning: Crossing the Chasm between Academia and Busines]
• K. Goel, N. Rajani, J. Vig, S. Tan, J. Wu, S. Zheng, C. Xiong, M. Bansal and C. Ré. Robustness Gym: Unifying the NLP Evaluation Landscape. 2021
• M. Xu, F. Zhang, X. Cui and W. Zhang. Speech Emotion Recognition with Multiscale Area Attention and Data Augmentationon. 2021
• M. Ciolino, D. Noever and J. Kalin. Multilingual Augmenter: The Model Chooses. 2021
• F. D. Pereira, F. Pires, S. C. Fonseca, E. H. T. Oliveira, L. S. G. Carvalho, D. B. F. Oliveira and A. I. Cristea. Towards a Human-AI Hybrid System for Categorising Programming Problems. 2021
• D. Zhang, F. Nan, X. Wei, D. Li, H. Zhu, K. McKeown, R. Nallapati, A. Arnold and B. Xiang. Supporting Clustering with Contrastive Learning. 2021
• L. Zhu and T. Gosakti. Augmenting Harper Valley Bank: Robust Automatic Speech Recognition. 2021
• P. Ruas, V. D. T. Andrade and F. M. Couto. Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification. 2021
• V. d Pimpalkhute, P. Nakhate and T. Diwan. IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification of Health-Related Tweets. 2021
• A. F. Aji, H. A. Wibowo, M. N. Nityasya, R. E. Prasojo and T. N Fatyanosa. BERT Goes Brrr: A Venture Towards the Lesser Error in Classifying Medical Self-Reporters on Twitter. 2021
• V. Kovatchev, P. Smith, M. Lee, and R Devin. Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability. 2021
• D. R. Beddiar, M. S. Jahan and M. Oussalah. Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection. 2021
• Y. Hirota, N. Garcia, M. Otani, C. Chu, Y. Nakashima, I.Taniguchi and T. Onoye. A Picture May Be Worth a Hundred Words for Visual Question Answering
• Z. Hu and Z. Wang. Mining Consumer Brand Relationship from Social Media Data: A Natural Language Processing Approach
• S. N. Zisad, E. Chowdhury, M. S. Hossain, R. U. Islam and K. Andersson. An Integrated Deep Learning and Belief Rule-Based Expert System for Visual Sentiment Analysis under Uncertainty. 2021
• S. Ullrich and M. Geierhos. Towards Constructing Multi-hop Reasoning Chains using Local Cohesion. 2021
• N. Ashraf, S. Butt, G. Sidorov and A. Gelbukh. CIC at CheckThat! 2021: Fake News detection Using Machine Learning And Data Augmentation. 2021
• M. A. Zaidi, S. Indurthi, B. Lee, N. K. Lakumarapu and S. Kim. Infusing Future Information into Monotonic Attention Through Language Models. 2021
• A. Deng and E. Shrestha. BERT-based Transfer Learning with Synonym Augmentation for Question Answering. 2021
• W. Simoncini. Meme Generation. 2021
• S. Cao and L. Wang. CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. 2021
• D. Kanojia, M. Fomicheva, T. Ranasinghe, F. Blain, C. Orasan and L. Specia. Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation. 2021
• J. Novikova. Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text. 2021
• P. Aggarwal, M. E. Liman, D. Gold, and T. Zesch. VL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes. 2021
• M. Jarosz, P. Nawrocki and B. ́Sniezynski. Multi-Platform Intelligent System for Multimodal Human-Computer Interaction. 2021
• T. Nguyen, and F. Pernkopf. Lung Sound Classification Using Co-tuning and Stochastic Normalization. 2021
• A. Edwards, A. Ushio, J. Camacho-Collados, H. Ribaupierre and A. PreeceGuiding Generative Language Models for Data Augmentation in Few-Shot Text Classification. 2021
• D. Zhang, W. Xiao, H. Zhu, X. Ma, A. O. Arnold. Virtual Augmentation Supported Contrastive Learning of Sentence Representations. 2021
• G. Lin and M. Giambi. Context-gloss Augmentation for Improving Word Sense Disambiguation. 2021
• E. Jing, K. Schneck, D. Egan and S. A. Waterman. Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts. 2021
• B. Newman, P. K. Choubey and N. Rajani. P-adapters: Robustly Extracting Factual Information from Language Modesl with Diverse Prompts. 2021
• D. R. Beddiar, M. S. Jahan and M. Oussalah. Data expansion using back translation and paraphrasing for hate speech detection. 2021
• L. Xue, M. Gao, Z. Chen, C. Xiong and R. Xu. Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks. 2021
• A. M. Bucur, A. Cosma and L. P. Dinu. Sequence-to-Sequence Lexical Normalization with Multilingual Transformers. 2021
• G. Mou, Y. Li and K. Lee. Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification. 2021
• M. Alali, S. Syed, M. Alsayed, S. Patel, H. Bodala. JUSTICE: A Benchmark Dataset for Supreme Court’s Judgment Prediction. 2021
• Q. Chen, J. Lacomis, E. J. Schwartz, G. Neubig, B. Vasilescu and C. L. Goues. VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. 2021
• Y. Peng, S. Li, W. Gu, Y. Li, W. Wang, C. Gao and M. Lyu. Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?. 2021
• A. F. Biten1, R. Litman2, Y. Xie, S. Appalaraju and R. Manmatha. LaTr: Layout-Aware Transformer for Scene-Text VQA. 2021

Project cited nlpaug

• D. Garcia-Olano and A. Jain. Generating Counterfactual Explanations using Reinforcement Learning Methods for Tabular and Text data. 2019
• L. Yi. Avengers: Achieving Superhuman Performance for Question Answering on SQuAD 2.0 Using Multiple Data Augmentations, Randomized Mini-Batch Training and Architecture Ensembling. 2020
• C. Minixhofer. Streamed Punctuation Annotation using Transformers, 2021
• A. Z. Kenyeres. Social Media Bot Detection. 2021