Augmenty: A Python Library for Structured Text Augmentation
This library addresses the need for structured text augmentation in NLP tasks, but it is incremental as it builds on existing tools like spaCy.
The authors introduced Augmenty, a Python library built on spaCy for structured text augmentation, enabling flexible combination of augmenters to create complex pipelines for applications like named entity recognition, part-of-speech tagging, and dependency parsing.
Augmnety is a Python library for structured text augmentation. It is built on top of spaCy and allows for augmentation of both the text and its annotations. Augmenty provides a wide range of augmenters which can be combined in a flexible manner to create complex augmentation pipelines. It also includes a set of primitives that can be used to create custom augmenters such as word replacement augmenters. This functionality allows for augmentations within a range of applications such as named entity recognition (NER), part-of-speech tagging, and dependency parsing.