17849228. NATURAL LANGUAGE UNDERSTANDING FOR CREATING AUTOMATION RULES FOR PROCESSING COMMUNICATIONS simplified abstract (Microsoft Technology Licensing, LLC)

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NATURAL LANGUAGE UNDERSTANDING FOR CREATING AUTOMATION RULES FOR PROCESSING COMMUNICATIONS

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Kuleen Mehta of Sammamish WA (US)

Matheus Camasmie Pavan of Sao Paulo (BR)

Alan Thomas of Woodstock GA (US)

NATURAL LANGUAGE UNDERSTANDING FOR CREATING AUTOMATION RULES FOR PROCESSING COMMUNICATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17849228 titled 'NATURAL LANGUAGE UNDERSTANDING FOR CREATING AUTOMATION RULES FOR PROCESSING COMMUNICATIONS

Simplified Explanation

The patent application describes methods and systems for generating automation rules based on natural language inputs. It involves using a trained machine learning model to convert natural language input into tagged primitives and identified actions. These primitives and actions are then used to generate automation rules for performing actions on a subset of communications received by a communications application. The generated automation rules can be executed to perform the specified actions on the subset of communications.

  • The technology uses natural language inputs to generate automation rules.
  • A trained machine learning model is employed to convert the natural language input into tagged primitives and identified actions.
  • Automation rules are generated based on the tagged primitives and identified actions.
  • The generated automation rules perform actions on a subset of communications received by a communications application.
  • The automation rules can be executed to perform the specified actions on the subset of communications.

Potential Applications

  • Streamlining communication processes in various industries.
  • Automating repetitive tasks in customer support or help desk systems.
  • Enhancing productivity by automating actions based on natural language instructions.

Problems Solved

  • Manual creation of automation rules based on natural language inputs is time-consuming and prone to errors.
  • Converting natural language inputs into actionable automation rules requires understanding and interpretation.
  • Automating actions based on natural language inputs can improve efficiency and reduce human effort.

Benefits

  • Simplifies the process of generating automation rules from natural language inputs.
  • Reduces the need for manual intervention in performing actions on communications.
  • Improves accuracy and consistency in executing automation rules.
  • Enhances productivity by automating tasks based on natural language instructions.


Original Abstract Submitted

Methods and systems for generating automation rules based on natural language inputs. In an example, the technology relates to a computer-implemented method for generating automation rules from natural language input. The method includes receiving a natural language input into a communications application for performing an action on communications received by the communications application; providing the natural language input into a trained machine learning model; receiving, as output from the trained machine learning model, a tagged primitive and an identified action from the natural language input; generating an automation rule for performing the action on a subset of communications received by the communications application, the subset of communications corresponding to the tagged primitives; and executing the generated automation rule to perform action on the subset of communications.

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