Invention Grant
- Patent Title: Multi-turn cross-domain natural language understanding systems, building platforms, and methods
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Application No.: US16439082Application Date: 2019-06-12
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Publication No.: US10909325B2Publication Date: 2021-02-02
- Inventor: Ruhi Sarikaya , Young-Bum Kim , Alexandre Rochette
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Main IPC: G06F40/00
- IPC: G06F40/00 ; G06F40/30 ; G10L15/06 ; G10L15/22 ; G06F40/205 ; G06F40/279 ; G10L15/18 ; G10L15/183

Abstract:
Multi-turn cross-domain natural language understanding (NLU) systems and platforms for building the multi-turn cross-domain NLU system are provided. Further, methods for using and building the multi-turn cross-domain NLU system are provided. More specifically, the multi-turn cross-domain NLU system supports multi-turn bot/agent/application scenarios for new domains without having to select a task definition and/or define a new schema during the building of the NLU system. Accordingly, the platform for building the multi-turn cross-domain NLU system that does not require the builder to select a task and/or build a schema for a selected task provides an easy to use, cost effective, and efficient service for building a NLU system. Further, the multi-turn cross-domain NLU system provides a more versatile NLU system than previously utilized NLU systems that were trained for and limited to a selected task and/or domain.
Public/Granted literature
- US20190294680A1 MULTI-TURN CROSS-DOMAIN NATURAL LANGUAGE UNDERSTANDING SYSTEMS, BUILDING PLATFORMS, AND METHODS Public/Granted day:2019-09-26
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