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Data Augmentation

434 directly classified papers

Papers per year

Papers

TextAttack: Lessons learned in designing Python frameworks for NLP EMNLP 2020
Noising Scheme for Data Augmentation in Automatic Post-Editing EMNLP 2020
PATQUEST: Papago Translation Quality Estimation EMNLP 2020
Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation EMNLP 2020
NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative EMNLP 2020
Fixing the train-test resolution discrepancy NIPS 2019
AutoAugment: Learning Augmentation Strategies From Data CVPR 2019
IITP-MT System for Gujarati-English News Translation Task at WMT 2019 ACL 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks EMNLP 2019
Data Augmentation with Atomic Templates for Spoken Language Understanding EMNLP 2019
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization EMNLP 2019
Abstract Text Summarization: A Low Resource Challenge EMNLP 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks EMNLP 2019
Data augmentation using back-translation for context-aware neural machine translation EMNLP 2019
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents EMNLP 2019
Robustness to Capitalization Errors in Named Entity Recognition EMNLP 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification EMNLP 2019
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text ACL 2019
The University of Sydney’s Machine Translation System for WMT19 ACL 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension ACL 2019
Soft Contextual Data Augmentation for Neural Machine Translation ACL 2019
MIGAN: Malware Image Synthesis Using GANs AAAI 2019
Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation AAAI 2019
Data Augmentation for Spoken Language Understanding via Joint Variational Generation AAAI 2019
Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation AAAI 2019