This demo showcases a hybrid method that leverages a Deep Learning classifier and heuristic rules to identify requests that place an obligation on a recipient, usually within the context of textual conversations. If a sentence is identified as task, the Task Annotator generates the following information:
- Actions: Generates a list of possible actions predicted as necessary to address a request. Considering the context of mobile applications, these actions can include writing back an email, making a call or opening your calendar.
- Priority: Generates a label indicating the urgency of a task as inferred from date expressions or priority patterns identified in a sentence.