Micromodel Documentation
Micromodels – A framework for accurate, explainable, data efficient, and reusable NLP models.
A micromodel is a representation for a specific linguistic behavior. Analagous to how recent applications are built using microservices, in which each microservice has a specific responsibility, a micromodel is responsible for representing a specific linguistic behavior. By orchestrating a suite of micromodels, our framework allows researchers and developers to build explainable and reusable systems across multiple NLP tasks.
For more details, refer to our Findings of EMNLP 2021 paper, Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health.
Contributing
Our repository can be found here. Pull requests are more than welcomed! If there are any features you would like to add, or have any suggestions on design, email ajyl@umich.edu or create a pull request.
Contents
Getting Started