Invention Grant
- Patent Title: Computer-based interlocutor understanding using classifying conversation segments
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Application No.: US16201188Application Date: 2018-11-27
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Publication No.: US10929611B2Publication Date: 2021-02-23
- Inventor: Jonathan E. Eisenzopf
- Applicant: discourse.ai, Inc.
- Applicant Address: US TX Dallas
- Assignee: discourse.ai, Inc.
- Current Assignee: discourse.ai, Inc.
- Current Assignee Address: US TX Dallas
- Agent Robert H. Frantz
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F40/35

Abstract:
Computer-based natural language understanding of input and output for a computer interlocutor is improved using a method of classifying conversation segments from transcribed conversations. The improvement includes one or more methods of splitting transcribed conversations into groups related to a conversation ontology using metadata; identifying dominant paths of conversational behavior by counting the frequency of occurrences of the behavior for a given path; creating a conversation model comprising conversation behaviors, metadata, and dominant paths; and using the conversation model to assign a probability score for a matched input to the computer interlocutor or a generated output from the computer interlocutor.
Public/Granted literature
- US20190171712A1 Computer-based Interlocutor Understanding Using Classifying Conversation Segments Public/Granted day:2019-06-06
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