公开(公告)号：US10685051B2

公开(公告)日：2020-06-16

申请号：US14987234

申请日：2016-01-04

Applicant: Open Text Corporation

Inventor： Stephen Ludlow ,  Steve Pettigrew ,  Alex Dowgailenko ,  Agostino Deligia ,  Isabelle Giguere

IPC: G06N99/00 ,  G06F16/35 ,  G06N20/00 ,  G06F16/93 ,  G06F16/25 ,  G06F16/28 ,  G06F3/0482 ,  G06F3/0484

Abstract: A reconfigurable automatic document-classification system and method provides classification metrics to a user and enables the user to reconfigure the classification model. The user can refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.

公开(公告)号：US20160117608A1

公开(公告)日：2016-04-28

申请号：US14987234

申请日：2016-01-04

Applicant: Open Text Corporation

Inventor： Stephen Ludlow ,  Steve Pettigrew ,  Alex Dowgailenko ,  Agostino Deligia ,  Isabelle Giguere

IPC: G06N99/00 ,  G06F17/30

Abstract: A reconfigurable automatic document-classification system and method provides classification metrics to a user and enables the user to reconfigure the classification model. The user can refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.

Abstract translation: 可重新配置的自动文档分类系统和方法向用户提供分类度量，并使用户能够重新配置分类模型。 用户可以通过添加或删除示例，创建，编辑或删除规则或对分类模型执行其他此类调整来细化分类模型。 这种技术增强了自动分类过程的整体透明度和防御性。

公开(公告)号：US12038959B2

公开(公告)日：2024-07-16

申请号：US16865089

申请日：2020-05-01

Applicant: Open Text Corporation

Inventor： Stephen Ludlow ,  Steve Pettigrew ,  Alex Dowgailenko ,  Agostino Deligia ,  Isabelle Giguere

IPC: G06F16/00 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/25 ,  G06F16/28 ,  G06F16/35 ,  G06F16/93 ,  G06N20/00 ,  G06N99/00

CPC classification number: G06F16/35 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/258 ,  G06F16/285 ,  G06F16/93 ,  G06N20/00 ,  G06N99/00

Abstract: A reconfigurable automatic document-classification system and method provides classification metrics to a user and enables the user to reconfigure the classification model. The user can refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.

公开(公告)号：US20240370481A1

公开(公告)日：2024-11-07

申请号：US18773407

申请日：2024-07-15

Applicant: Open Text Corporation

Inventor： Stephen Ludlow ,  Steve Pettigrew ,  Alex Dowgailenko ,  Agostino Deligia ,  Isabelle Giguere

IPC: G06F16/35 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/25 ,  G06F16/28 ,  G06F16/93 ,  G06N20/00 ,  G06N99/00

Abstract: A reconfigurable automatic document-classification system and method provides classification metrics to a user and enables the user to reconfigure the classification model. The user can refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.

公开(公告)号：US20200301955A1

公开(公告)日：2020-09-24

申请号：US16865089

申请日：2020-05-01

Applicant: Open Text Corporation

Inventor： Stephen Ludlow ,  Steve Pettigrew ,  Alex Dowgailenko ,  Agostino Deligia ,  Isabelle Giguere

IPC: G06F16/35 ,  G06N20/00 ,  G06F16/93 ,  G06F16/25 ,  G06F16/28 ,  G06N99/00 ,  G06F3/0482 ,  G06F3/0484

Abstract: A reconfigurable automatic document-classification system and method provides classification metrics to a user and enables the user to reconfigure the classification model. The user can refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.