公开(公告)号：US20220156467A1

公开(公告)日：2022-05-19

申请号：US17586873

申请日：2022-01-28

Applicant: Verint Americas Inc.

Inventor： Timothy Seegan ,  Ian Beaver

IPC: G06F40/40 ,  G06F40/253 ,  G06F40/30 ,  G06N3/08 ,  H04L51/02

Abstract: Hybrid natural language understanding (NLU) systems and methods are provided that capitalize on the strengths of the rule-based models and the statistical models, lowering the cost of development and increasing the speed of construction, without sacrificing control and accuracy. Two models are used for intent recognition, one statistical and one rule-based. Both models define the same set of intents, but the rule-based model is devoid of any grammars or patterns initially. Each model may or may not be hierarchical in that it may be composed of a set of specialized models that are in a tree form or it may be just a singular model.

公开(公告)号：US11636272B2

公开(公告)日：2023-04-25

申请号：US17586873

申请日：2022-01-28

Applicant: Verint Americas Inc.

Inventor： Timothy Seegan ,  Ian Roy Beaver

IPC: G06F40/40 ,  G06F40/253 ,  G06F40/30 ,  G06N3/08 ,  H04L51/02

Abstract: Hybrid natural language understanding (NLU) systems and methods are provided that capitalize on the strengths of the rule-based models and the statistical models, lowering the cost of development and increasing the speed of construction, without sacrificing control and accuracy. Two models are used for intent recognition, one statistical and one rule-based. Both models define the same set of intents, but the rule-based model is devoid of any grammars or patterns initially. Each model may or may not be hierarchical in that it may be composed of a set of specialized models that are in a tree form or it may be just a singular model.

公开(公告)号：US11270082B2

公开(公告)日：2022-03-08

申请号：US16528861

申请日：2019-08-01

Applicant: Verint Americas Inc.

Inventor： Timothy Seegan ,  Ian Beaver

IPC: G06F40/40 ,  G06F40/253 ,  G06F40/30 ,  G06N3/08 ,  H04L12/58 ,  H04L51/02

Abstract: Hybrid natural language understanding (NLU) systems and methods are provided that capitalize on the strengths of the rule-based models and the statistical models, lowering the cost of development and increasing the speed of construction, without sacrificing control and accuracy. Two models are used for intent recognition, one statistical and one rule-based. Both models define the same set of intents, but the rule-based model is devoid of any grammars or patterns initially. Each model may or may not be hierarchical in that it may be composed of a set of specialized models that are in a tree form or it may be just a singular model.

公开(公告)号：US20200057811A1

公开(公告)日：2020-02-20

申请号：US16528861

申请日：2019-08-01

Applicant: Verint Americas Inc.

Inventor： Timothy Seegan ,  Ian Beaver

IPC: G06F17/28 ,  G06F17/27 ,  H04L12/58 ,  G06N3/08

Abstract: Hybrid natural language understanding (NLU) systems and methods are provided that capitalize on the strengths of the rule-based models and the statistical models, lowering the cost of development and increasing the speed of construction, without sacrificing control and accuracy. Two models are used for intent recognition, one statistical and one rule-based. Both models define the same set of intents, but the rule-based model is devoid of any grammars or patterns initially. Each model may or may not be hierarchical in that it may be composed of a set of specialized models that are in a tree form or it may be just a singular model.