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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Team JUST at the MADAR Shared Task on Arabic Fine-Grained Dialect Identification ACL 2019
Advancing Sequence-to-Sequence Based Speech Recognition INTERSPEECH 2019
Quality and Coverage: The AFRL Submission to the WMT19 Parallel Corpus Filtering for Low-Resource Conditions Task ACL 2019
The BLCU System in the BEA 2019 Shared Task ACL 2019
Transforming Complex Sentences into a Semantic Hierarchy ACL 2019
Filtering of Noisy Parallel Corpora Based on Hypothesis Generation ACL 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules ICML 2019
Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials IJCNLP 2019
Neural Inverse Knitting: From Images to Manufacturing Instructions ICML 2019
Does Data Augmentation Lead to Positive Margin? ICML 2019
Improving Action Localization by Progressive Cross-Stream Cooperation CVPR 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks IJCNLP 2019
HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo SEMEVAL 2019
Joint Approach to Deromanization of Code-mixed Texts NAACL 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks EMNLP 2019
Supervised neural machine translation based on data augmentation and improved training & inference process EMNLP 2019
SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task EMNLP 2019
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis EMNLP 2019
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text ACL 2019
Linguistically Motivated Parallel Data Augmentation for Code-Switch Language Modeling INTERSPEECH 2019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition INTERSPEECH 2019
Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches SEMEVAL 2019
Light Field Messaging With Deep Photographic Steganography CVPR 2019
Correcting Chinese Word Usage Errors for Learning Chinese as a Second Language COLING 2018
Deep learning evaluation using deep linguistic processing NAACL 2018