422 citations · 609 across the 4 of their papers we have counts for
4 papers
A Survey on Data Augmentation for Text Classification
Markus Bayer, Marc-André Kaufhold, Christian Reuter
Data augmentation, the artificial creation of training data for machine learning by transformations, is a widely studied research field across machine learning disciplines. While i…
Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers
Markus Bayer, Marc-André Kaufhold, Björn Buchhold +3
In many cases of machine learning, research suggests that the development of training data might have a higher relevance than the choice and modelling of classifiers themselves. Th…
Empirical Insights for Designing Information and Communication Technology for International Disaster Response
Milan Stute, Max Maass, Tom Schons +3
Due to the increase in natural disasters in the past years, Disaster Response Organizations (DROs) are faced with the challenge of coping with more and larger operations. Currently…
Cross-Media Usage of Social Big Data for Emergency Services and Volunteer Communities: Approaches, Development and Challenges of Multi-Platform Social Media Services
Marc-André Kaufhold, Christian Reuter, Thomas Ludwig
The use of social media is ubiquitous and nowadays well-established in our everyday life, but increasingly also before, during or after emergencies. The produced data is spread acr…