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Dev tools to reliably understand text and automate conversations
...Support for popular messaging channels like Slack, Telegram, MS Teams, Facebook Messenger, and an embeddable web chat. An SDK and code editor to extend the capabilities. Post-deployment tools like analytics dashboards, human handoff and more.
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