https://www.newknowledge.com/articles/introducing-simon-an-open-source-tool-for-analyzing-semantic-nlp-in-email-and-social-media-content/
Going Beyond the Usual ML Analysis
SIMON is part of DARPA’s AutoML system that automates data science pipelines. To get started, a user supplies a task in natural language, such as determining whether an email is from a legitimate sender or from a bot trying to sell you a new mortgage. The machine applies all necessary preprocessing and machine learning algorithms, and communicates the results to the user in natural language. SIMON’s role in the AutoML system is preprocessing to semantically classify tabular data.
SIMON goes beyond traditional natural language analysis by relying on Transfer Learning, which is still a relatively new practice in natural language processing. SIMON learns an initial set of data and then applies that knowledge to another domain with significantly reduced training requirements.