公开(公告)号：US11003849B2

公开(公告)日：2021-05-11

申请号：US16124829

申请日：2018-09-07

Applicant: NarrativeDx, Inc.

Inventor： Zach W. Childers ,  Kyle Robertson ,  Taylor Turpen

IPC: G06F40/205 ,  G10L15/183 ,  G06F16/31 ,  G06F40/211 ,  G06F40/253 ,  G06F40/289

Abstract: Technologies for natural language processing include a computing device that loads natural language text data that includes multiple words, such as a naturally elicited response or comment data. The computing device applies a constituency parser to the natural language text data to generate a constituency parse tree. The constituency parse tree may include multiple nodes that each correspond to a hierarchical constituent of the natural language text. The computing device applies a constituency rule to identify clauses in the natural language text data. The constituency rule may identify a left-most daughter of each subordinate clause node of the constituency parse tree. Each subordinate clause is distinct, preventing dependencies from crossing clause boundaries. The computing device applies a dependency parser to each clause to generate a corresponding dependency parse. Each dependency parse may include a graph with nodes corresponding to words of the clause and edges corresponding to dependency relationships.

公开(公告)号：US10261992B1

公开(公告)日：2019-04-16

申请号：US16156336

申请日：2018-10-10

Applicant: NarrativeDx, Inc.

Inventor： Kyle Robertson ,  Taylor Turpen

IPC: G06F17/27 ,  G06F16/61 ,  G06Q50/22

Abstract: A system and method for processing and actionizing structured and unstructured patient experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

公开(公告)号：US10528671B1

公开(公告)日：2020-01-07

申请号：US16451816

申请日：2019-06-25

Applicant: NarrativeDx Inc.

Inventor： Kyle Robertson ,  Taylor Turpen

IPC: G06F17/27 ,  G06F16/61 ,  G06Q50/22

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts. In some embodiments, the data set may include voice data from a voice based assistant or a voice based survey.

公开(公告)号：US10114814B1

公开(公告)日：2018-10-30

申请号：US15277892

申请日：2016-09-27

Applicant: NarrativeDX, Inc.

Inventor： Kyle Robertson ,  Taylor Turpen

IPC: G06F17/27 ,  G06F17/30 ,  G06F17/24 ,  G06Q50/22

Abstract: A system and method for processing and actionizing structured and unstructured patient experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

公开(公告)号：US10331790B1

公开(公告)日：2019-06-25

申请号：US16236997

申请日：2018-12-31

Applicant: NarrativeDx, INC.

Inventor： Kyle Robertson ,  Taylor Turpen

IPC: G06F17/27 ,  G06F16/61 ,  G06Q50/22

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

公开(公告)号：US20190073352A1

公开(公告)日：2019-03-07

申请号：US16124829

申请日：2018-09-07

Applicant: NarrativeDX Inc.

Inventor： Zach W. Childers ,  Kyle Robertson ,  Taylor Turpen

IPC: G06F17/27 ,  G10L15/183 ,  G06F17/30

Abstract: Technologies for natural language processing include a computing device that loads natural language text data that includes multiple words, such as a naturally elicited response or comment data. The computing device applies a constituency parser to the natural language text data to generate a constituency parse tree. The constituency parse tree may include multiple nodes that each correspond to a hierarchical constituent of the natural language text. The computing device applies a constituency rule to identify clauses in the natural language text data. The constituency rule may identify a left-most daughter of each subordinate clause node of the constituency parse tree. Each subordinate clause is distinct, preventing dependencies from crossing clause boundaries. The computing device applies a dependency parser to each clause to generate a corresponding dependency parse. Each dependency parse may include a graph with nodes corresponding to words of the clause and edges corresponding to dependency relationships.