NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Work
Year: 2021
Type: preprint
Abstract: Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained on. In this paper, w... more
Source: arXiv (Cornell University)
Cites:
Cited by: 26
Related to: 10
Citation percentile (by year/subfield): 76.88
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Industry, innovation and infrastructure
Open Access status: green