Artext is a work on injecting noise into text without affecting the core meaning for a human reader. This kind of data can be useful for many NLP tasks, particulary to make models robust to erroneous text. This is a work in progress, and we will publish the results of our experiments soon. Meanwhile, if you use artext in your research please cite this repository.
Github: https://github.com/nlpcl-lab/artext
Categories
Natural Language Processing (NLP)Follow artext
Other Useful Business Software
Cut Data Warehouse Costs by 54%
BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of artext!