Invention Grant
- Patent Title: Methods for natural language model training in natural language understanding (NLU) systems
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Application No.: US16805358Application Date: 2020-02-28
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Publication No.: US11574127B2Publication Date: 2023-02-07
- Inventor: Jeffry Copps Robert Jose , Mithun Umesh
- Applicant: Rovi Guides, Inc.
- Applicant Address: US CA San Jose
- Assignee: Rovi Guides, Inc.
- Current Assignee: Rovi Guides, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Haley Guiliano LLP
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F40/295 ; G06N3/04 ; G06N3/08

Abstract:
Systems and methods for training a classifier binary model of a natural language understanding (NLU) system are disclosed herein. A determination is made as to whether a text string, with a content entity, includes an obsequious expression. In response to determining the text string includes an obsequious expression, a determination is made as to whether the obsequious expression describes the content entity. The model is trained based on a determination of at least one of: an absence of an obsequious expression in response to determining the obsequious expression describes the content entity; a presence of an obsequious expression in response to determining the obsequious expression describes the content entity; an absence of an obsequious expression in response to determining the obsequious expression does not describe the content entity, and a presence of an obsequious expression in response to determining the obsequious expression does not describe the content entity.
Public/Granted literature
- US20210271819A1 METHODS FOR NATURAL LANGUAGE MODEL TRAINING IN NATURAL LANGUAGE UNDERSTANDING (NLU) SYSTEMS Public/Granted day:2021-09-02
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