公开(公告)号：US20230317067A1

公开(公告)日：2023-10-05

申请号：US18329839

申请日：2023-06-06

Applicant: NVIDIA Corporation

Inventor： Shubhadeep Das ,  Sumit Bhattacharya ,  Ratin Kumar

IPC: G10L15/18 ,  G10L13/02 ,  G10L15/30 ,  G10L15/22

CPC classification number: G10L15/1815 ,  G10L13/02 ,  G10L15/30 ,  G10L15/22

Abstract: In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.

公开(公告)号：US20230205797A1

公开(公告)日：2023-06-29

申请号：US18173610

申请日：2023-02-23

Applicant: NVIDIA Corporation

Inventor： Shubhadeep Das ,  Sumit Kumar Bhattacharya ,  Oluwatobi Olabiyi

IPC: G06F16/332

CPC classification number: G06F16/3329

Abstract: In various examples, hybrid models for determining intents in conversational AI systems and applications are disclosed. Systems and methods are disclosed that use a machine learning model(s) and a data file(s) that associates intents with one another (e.g., using a tree-like structure) in order to determine a final intent associated with text. For example, the text may initially be processed using the machine learning model(s) (e.g., a first machine learning model) in order to determine a first intent associated with the text. The data file(s) may then be used to determine information (e.g., anchors) for one or more second intents (e.g., one or more sub-intents) that are related to the first intent. The text and the information may then be processed using the machine learning model(s) (e.g., a second machine learning model) to determine a second intent, from the one or more second intents, that is associated with the text.

公开(公告)号：US20250124734A1

公开(公告)日：2025-04-17

申请号：US18999826

申请日：2024-12-23

Applicant: Nvidia Corporation

Inventor： Sakthivel Sivaraman ,  Nishant Puri ,  Yuzhuo Ren ,  Atousa Torabi ,  Shubhadeep Das ,  Niranjan Avadhanam ,  Sumit Kumar Bhattacharya ,  Jason Roche

IPC: G06V40/10 ,  G06F3/01 ,  G06F16/632 ,  G06T7/73 ,  G06T15/06

Abstract: Interactions with virtual systems may be difficult when users inadvertently fail to provide sufficient information to proceed with their requests. Certain types of inputs, such as auditory inputs, may lack sufficient information to properly provide a response to the user. Additional information, such as image data, may enable user gestures or poses to supplement the auditory inputs to enable response generation without requesting additional information from users.

公开(公告)号：US12211308B2

公开(公告)日：2025-01-28

申请号：US17462833

申请日：2021-08-31

Applicant: Nvidia Corporation

Inventor： Sakthivel Sivaraman ,  Nishant Puri ,  Yuzhuo Ren ,  Atousa Torabi ,  Shubhadeep Das ,  Niranjan Avadhanam ,  Sumit Kumar Bhattacharya ,  Jason Roche

IPC: G06V40/10 ,  G06F3/01 ,  G06F16/632 ,  G06T7/73 ,  G06T15/06

Abstract: Interactions with virtual systems may be difficult when users inadvertently fail to provide sufficient information to proceed with their requests. Certain types of inputs, such as auditory inputs, may lack sufficient information to properly provide a response to the user. Additional information, such as image data, may enable user gestures or poses to supplement the auditory inputs to enable response generation without requesting additional information from users.

公开(公告)号：US20220319503A1

公开(公告)日：2022-10-06

申请号：US17218751

申请日：2021-03-31

Applicant: NVIDIA Corporation

Inventor： Shubhadeep Das ,  Sumit Bhattacharya ,  Ratin Kumar

IPC: G10L15/18 ,  G10L13/02 ,  G10L15/22 ,  G10L15/30

Abstract: In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.

公开(公告)号：US12057113B2

公开(公告)日：2024-08-06

申请号：US18329839

申请日：2023-06-06

Applicant: NVIDIA Corporation

Inventor： Shubhadeep Das ,  Sumit Bhattacharya ,  Ratin Kumar

IPC: G10L15/22 ,  G10L13/02 ,  G10L15/18 ,  G10L15/30

CPC classification number: G10L15/1815 ,  G10L13/02 ,  G10L15/22 ,  G10L15/30

Abstract: In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.

公开(公告)号：US20240184814A1

公开(公告)日：2024-06-06

申请号：US18173622

申请日：2023-02-23

Applicant: NVIDIA Corporation

Inventor： Shubhadeep Das ,  Sumit Kumar Bhattacharya ,  Oluwatobi Olabiyi

IPC: G06F16/332

CPC classification number: G06F16/3329

Abstract: In various examples, hybrid models for determining intents in conversational AI systems and applications are disclosed. Systems and methods are disclosed that use a machine learning model(s) and a data file(s) that associates requests (e.g., questions) with responses (e.g., answers) in order to generate final responses to requests. For instance, the machine learning model(s) may determine confidence scores that indicate similarities between the requests from the data file(s) and an input request represented by text data. The data file(s) is then used to determine, based on the confidence scores, one of the responses that is associated with one of the requests that is related to the input request. Additionally, the response may then used to generate a final response to the input request.

公开(公告)号：US20230259540A1

公开(公告)日：2023-08-17

申请号：US17674704

申请日：2022-02-17

Applicant: NVIDIA Corporation

Inventor： Shubhadeep Das ,  Sumit Bhattacharya ,  Ratin Kumar

IPC: G06F16/332 ,  G06F16/33 ,  G06F16/38 ,  G10L13/08 ,  G10L15/08

CPC classification number: G06F16/3329 ,  G06F16/3344 ,  G06F16/38 ,  G10L13/08 ,  G10L15/083

Abstract: In various examples, a conversational artificial intelligence (AI) platform uses structured data and unstructured data to generate responses to queries from users. In an example, if data for a response to a query is not stored in a structured data structured, the conversational AI platform searches for the data in an unstructured data structure.

公开(公告)号：US20230120989A1

公开(公告)日：2023-04-20

申请号：US18067217

申请日：2022-12-16

Applicant: NVIDIA Corporation

Inventor： Shubhadeep Das ,  Sumit Bhattacharya ,  Ratin Kumar

IPC: G10L15/18 ,  G10L13/02 ,  G10L15/30 ,  G10L15/22

Abstract: In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.

公开(公告)号：US11568861B2

公开(公告)日：2023-01-31

申请号：US17218751

申请日：2021-03-31

Applicant: NVIDIA Corporation

Inventor： Shubhadeep Das ,  Sumit Bhattacharya ,  Ratin Kumar

IPC: G10L15/22 ,  G10L15/18 ,  G10L13/02 ,  G10L15/30

Abstract: In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.