公开(公告)号：US11663411B2

公开(公告)日：2023-05-30

申请号：US17225589

申请日：2021-04-08

Applicant: Verint Systems Ltd.

Inventor： Daniel Mark Baum ,  Uri Segal ,  Ron Wein ,  Oana Sidi

IPC: G06F16/36 ,  G06F40/289 ,  G06F40/284

CPC classification number: G06F40/289 ,  G06F16/367 ,  G06F40/284

Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.

公开(公告)号：US11030406B2

公开(公告)日：2021-06-08

申请号：US15007703

申请日：2016-01-27

Applicant: Verint Systems Ltd.

Inventor： Daniel Baum ,  Uri Segal ,  Ron Wein ,  Oana Sidi

IPC: G06F16/36 ,  G06F40/289 ,  G06F40/284

Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.

公开(公告)号：US10255346B2

公开(公告)日：2019-04-09

申请号：US14608737

申请日：2015-01-29

Applicant: Verint Systems Ltd.

Inventor： Yair Horesh ,  Roni Romano ,  Uri Segal ,  Omer Ziv

IPC: G06F17/30 ,  G06N5/02 ,  G06Q30/00 ,  G10L15/08

Abstract: Systems, methods, and media for developing ontologies and analyzing communication data are provided herein. In an example implementation, the method includes: identifying terms in in a set of communication data; identifying a list of possible relations of the identified terms; scoring the possible relations according to a set of predefined merits; ranking the possible relations into a list of possible relations in descending order according to their score; and tagging relations in the set of communication data. The relations may be tagged by identifying the possible relations in the communication data in order corresponding with the list of possible relations. The possible relations that have lower rankings that conflict with higher ranking relations are not tagged. The conflicts may be determined by a predefined set of conflict criteria.

公开(公告)号：US20160217128A1

公开(公告)日：2016-07-28

申请号：US15007703

申请日：2016-01-27

Applicant: Verint Systems Ltd.

Inventor： Daniel Baum ,  Uri Segal ,  Ron Wein ,  Oana Sidi

IPC: G06F17/27

CPC classification number: G06F17/2775 ,  G06F16/367 ,  G06F17/277

Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.

Abstract translation: 一种用于通过处理通信数据来扩展初始本体的方法，其中初始本体是包括一组实体的语言元素的结构表示，一组术语，一组术语 - 实体关联，一组实体关联规则 ，一组抽象关系，以及一组关系实例。 一种用于从输入文档集中提取一组重要短语和一组重要短语共同出现的方法还包括利用这些术语来识别通信数据训练集内的关系，其中关系是出现的一对术语 彼此接近。

公开(公告)号：US20210224483A1

公开(公告)日：2021-07-22

申请号：US17225589

申请日：2021-04-08

Applicant: Verint Systems Ltd.

Inventor： Daniel Baum ,  Uri Segal ,  Ron Wein ,  Oana Sidi

IPC: G06F40/289 ,  G06F16/36 ,  G06F40/284

Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.

公开(公告)号：US20160217127A1

公开(公告)日：2016-07-28

申请号：US15007699

申请日：2016-01-27

Applicant: Verint Systems Ltd.

Inventor： Uri Segal ,  Oana Sidi ,  Ron Wein ,  Daniel Baum

IPC: G06F17/27

CPC classification number: G06F17/2775 ,  G06F16/367 ,  G06F17/277

Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.

Abstract translation: 一种用于通过处理通信数据来扩展初始本体的方法，其中初始本体是包括一组实体的语言元素的结构表示，一组术语，一组术语 - 实体关联，一组实体关联规则 ，一组抽象关系，以及一组关系实例。 一种用于从输入文档集中提取一组重要短语和一组重要短语共同出现的方法还包括利用这些术语来识别通信数据训练集内的关系，其中关系是出现的一对术语 彼此接近。

公开(公告)号：US20150220618A1

公开(公告)日：2015-08-06

申请号：US14608737

申请日：2015-01-29

Applicant: Verint Systems Ltd.

Inventor： Yair Horesh ,  Roni Romano ,  Uri Segal ,  Omer Ziv

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06F17/30598 ,  G06F17/30734 ,  G06N5/022 ,  G06Q30/01 ,  G10L2015/088

Abstract: Systems, methods, and media for developing ontologies and analyzing communication data are provided herein. In an example implementation, the method includes: identifying terms in in a set of communication data; identifying a list of possible relations of the identified terms; scoring the possible relations according to a set of predefined merits; ranking the possible relations into a list of possible relations in descending order according to their score; and tagging relations in the set of communication data. The relations may be tagged by identifying the possible relations in the communication data in order corresponding with the list of possible relations. The possible relations that have lower rankings that conflict with higher ranking relations are not tagged. The conflicts may be determined by a predefined set of conflict criteria.

Abstract translation: 本文提供了用于开发本体和分析通信数据的系统，方法和媒体。 在示例实现中，该方法包括：识别一组通信数据中的术语; 确定所识别术语的可能关系的列表; 根据一组预定义的优点对可能的关系进行评分; 根据他们的得分将可能的关系排列成可能的关系列表，降序排列; 并在该组通信数据中标记关系。 可以通过根据可能的关系列表来确定通信数据中的可能关系来标记关系。 与较高排名关系冲突的排名较低的可能关系未被标记。 冲突可以通过预定义的一组冲突标准来确定。