公开(公告)号：US20180211153A1

公开(公告)日：2018-07-26

申请号：US15658566

申请日：2017-07-25

Applicant: SAS Institute Inc.

Inventor： Stuart Andrew Hunt ,  Samuel Paul Leeman-Munk ,  Richard Welland Crowell

IPC: G06N3/04 ,  G06N5/04 ,  G06N3/08

CPC classification number: G06N3/0445 ,  G06N3/0454 ,  G06N3/049 ,  G06N3/08 ,  G06N3/084 ,  G06N5/047

Abstract: A computing device identifies a pattern in a dataset. A first neural network model is executed using data points as input to input nodes of the first neural network model to generate first output node data. A second neural network model is executed using the first output node data as input to input nodes of the second neural network model to generate second output node data. The second output node data includes a plurality of output values for each x-value of the plurality of data points. For each x-value, an output value of the plurality of output values is associated with a single pattern type of a plurality of predefined pattern types. For each pattern type of the plurality of predefined pattern types, a start time and a stop time is identified when the output value for the associated pattern type exceeds a predefined pattern window threshold value.

公开(公告)号：US10191921B1

公开(公告)日：2019-01-29

申请号：US15944163

申请日：2018-04-03

Applicant: SAS Institute Inc.

Inventor： Ethem F. Can ,  Richard Welland Crowell ,  Samuel Paul Leeman-Munk ,  Jared Peterson ,  Saratendu Sethi

IPC: G06F17/30 ,  G06N3/08

Abstract: A system provides image search results based on a query that includes an attribute or an association and a concept identifier. The query is input into a trained query model to define a search syntax for the query. The search syntax is submitted to an expanded annotated image database that includes a concept image of a concept identified by the concept identifier with a plurality of attributes associated with the concept and a plurality of associations associated with the concept. A query result is received based on matching the defined search syntax to one or more of the attributes or one or more of the associations. The query result includes the concept image of the concept associated with the matched one or more of the attributes or one or more of the associations. The concept image included in the received query result is presented in a display.

公开(公告)号：US11074412B1

公开(公告)日：2021-07-27

申请号：US17202413

申请日：2021-03-16

Applicant: SAS Institute Inc.

Inventor： Samuel Paul Leeman-Munk ,  James Allen Cox ,  David Blake Styles ,  Richard Welland Crowell

IPC: G06F40/30 ,  G06N20/00 ,  G06F40/284 ,  G06N3/04 ,  G06N3/08

Abstract: A system trains a classification model. Text windows are defined from tokens based on a window size. A network model including a transformer network is trained with the text windows to define classification information. A first accuracy value is computed. (A) The window size is reduced using a predefined reduction factor value. (B) Second text windows are defined based on the reduced window size. (C) Retrain the network model with the second text windows to define classification information. (D) A second accuracy value is computed. (E) An accuracy reduction value is computed from the second accuracy value relative to the first accuracy value. When the computed accuracy reduction value is ≥an accuracy reduction tolerance value, repeat (A)-(E) until the accuracy reduction value is

公开(公告)号：US20190385611A1

公开(公告)日：2019-12-19

申请号：US16434210

申请日：2019-06-07

Applicant: SAS Institute Inc.

Inventor： Jared Michael Dean Smythe ,  David Blake Styles ,  Richard Welland Crowell

IPC: G10L15/26 ,  G10L15/197 ,  G06F17/27 ,  G06F17/28 ,  G06N20/00

Abstract: A system determines user intent from text. A conversation element is received. An intent is determined by matching a domain independent relationship and a domain dependent term determined from the received conversation element to an intent included in an intent database that stores a plurality of intents and by inputting the matched intent into a trained classifier that computes a likelihood that the matched intent is the intent of the received conversation element. An action is determined based on the determined intent. A response to the received conversation element is generated based on the determined action and output.

公开(公告)号：US10978053B1

公开(公告)日：2021-04-13

申请号：US17069128

申请日：2020-10-13

Applicant: SAS Institute Inc.

Inventor： Jared Michael Dean Smythe ,  Richard Welland Crowell

IPC: G10L15/18 ,  G10L13/02 ,  G10L15/22

Abstract: A system determines user intent from a received conversation element. A plurality of distinct intent labels are generated for the received conversation element. The generated plurality of distinct intent labels are divided into a plurality of interpretation partitions with overlapping semantic content. for each interpretation partition of the plurality of interpretation partitions, a set of maximal coherent subgroups are defined that do not disagree on labels for terms in each subgroup, a score is computed for each maximal coherent subgroup of the defined set of maximal coherent subgroups, and a maximal coherent subgroup is selected from the set of maximal coherent subgroups based on the computed score. Intent labels are aggregated from the selected maximal coherent subgroup of each interpretation partition of the plurality of interpretation partitions to define a multiple intent interpretation of the received conversation element. The defined multiple intent interpretation is output for the received conversation element.

公开(公告)号：US10559308B2

公开(公告)日：2020-02-11

申请号：US16434210

申请日：2019-06-07

Applicant: SAS Institute Inc.

Inventor： Jared Michael Dean Smythe ,  David Blake Styles ,  Richard Welland Crowell

IPC: G06F17/20 ,  G10L15/26 ,  G10L15/197 ,  G06N20/00 ,  G06F17/28 ,  G06F17/27

Abstract: A system determines user intent from text. A conversation element is received. An intent is determined by matching a domain independent relationship and a domain dependent term determined from the received conversation element to an intent included in an intent database that stores a plurality of intents and by inputting the matched intent into a trained classifier that computes a likelihood that the matched intent is the intent of the received conversation element. An action is determined based on the determined intent. A response to the received conversation element is generated based on the determined action and output.

公开(公告)号：US10235622B2

公开(公告)日：2019-03-19

申请号：US15658566

申请日：2017-07-25

Applicant: SAS Institute Inc.

Inventor： Stuart Andrew Hunt ,  Samuel Paul Leeman-Munk ,  Richard Welland Crowell

IPC: G06N3/04 ,  G06N3/08 ,  G06N5/04

Abstract: A computing device identifies a pattern in a dataset. A first neural network model is executed using data points as input to input nodes of the first neural network model to generate first output node data. A second neural network model is executed using the first output node data as input to input nodes of the second neural network model to generate second output node data. The second output node data includes a plurality of output values for each x-value of the plurality of data points. For each x-value, an output value of the plurality of output values is associated with a single pattern type of a plurality of predefined pattern types. For each pattern type of the plurality of predefined pattern types, a start time and a stop time is identified when the output value for the associated pattern type exceeds a predefined pattern window threshold value.