Data Science | Machine Learning | Artificial Intelligence
1.12K subscribers
105 photos
11 videos
20 files
210 links
Your daily dose of data science

Discussion chat: @data_science_forum
Download Telegram
​​NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

This paper presents a new participatory Python-based natural language augmentation framework that supports the creation of transformations (modifications to the data) and filters (data splits according to specific features).

The current version of the framework contains 117 transformations and 23 filters for a variety of natural language tasks.

The authors demonstrate the efficacy of NL-Augmenter by using several of its transformations to analyze the robustness of popular natural language models.

Paper: https://arxiv.org/abs/2112.02721
Code: https://github.com/GEM-benchmark/NL-Augmenter

A detailed unofficial overview of the paper: https://andlukyane.com/blog/paper-review-nlaugmenter

#deeplearning #nlp #augmentation #robustness

Team
@data_enthusiasts
@OpenArchiveBooks