公开(公告)号：US20220230632A1

公开(公告)日：2022-07-21

申请号：US17301489

申请日：2021-04-05

Applicant: Accenture Global Solutions Limited

Inventor： Anutosh MAITRA ,  Shubhashis SENGUPTA ,  Sowmya RASIPURAM ,  Roshni Ramesh RAMNANI ,  Junaid HAMID BHAT ,  Sakshi JAIN ,  Manish AGNIHOTRI ,  Dinesh Babu JAYAGOPI

IPC: G10L15/18 ,  G06K9/62 ,  G06T7/70 ,  G06K9/00 ,  G10L25/63 ,  G10L15/183 ,  G06F40/35 ,  G10L25/57 ,  G10L15/16 ,  G10L15/22 ,  G10L25/90 ,  G06N3/08 ,  G06N3/04 ,  A61B5/16 ,  A61B5/00 ,  A61B5/11

Abstract: A device may receive text data, audio data, and video data associated with a user, and may process the received data, with a first model, to determine a stress level of the user. The device may process the received data, with second models, to determine depression levels of the user, and may combine the depression levels to identify an overall depression level. The device may process the received data, with a third model, to determine a continuous affect prediction, and may process the received data, with a fourth model, to determine an emotion of the user. The device may process the received data, with a fifth model, to determine a response to the user, and may utilize a sixth model to determine a context for the response. The device may utilize seventh models to generate contextual conversation data, and may perform actions based on the contextual conversational data.

公开(公告)号：US20240203094A1

公开(公告)日：2024-06-20

申请号：US18068945

申请日：2022-12-20

Applicant: Accenture Global Solutions Limited

Inventor： Anutosh MAITRA ,  Milind SAVAGAONKAR ,  Sowmya RASIPURAM ,  Roshni Ramesh RAMNANI ,  Karthik L NAGAR ,  Aditya MOHAN SINGH

IPC: G06V10/764 ,  G06V10/70 ,  G06V10/774 ,  G10L15/26

CPC classification number: G06V10/764 ,  G06V10/768 ,  G06V10/774 ,  G10L15/26

Abstract: A device may receive multimodal content that includes two or more of text data, image data, or video data, and may process the two or more of the text data, the image data, or the video data, with a binary classifier model, to determine whether the two or more of the text data, the image data, or the video data is biased or unbiased. The device may process the two or more of the text data, the image data, or the video data, with a multilabel classifier model and based on the two or more of the text data, the image data, or the video data being biased, to determine an implicit bias in at least one of the two or more of the text data, the image data, or the video data, and may perform one or more actions based on the implicit bias.

公开(公告)号：US20220075953A1

公开(公告)日：2022-03-10

申请号：US17248298

申请日：2021-01-19

Applicant: Accenture Global Solutions Limited

Inventor： Vivek Kumar KHETAN ,  Mayuresh ANAND ,  Roshni Ramesh RAMNANI ,  Shubhashis SENGUPTA ,  Andrew E. FANO

IPC: G06F40/30 ,  G06N3/04 ,  G06F40/284

Abstract: A device may receive training data that includes datasets associated with natural language processing, and may mask the training data to generate masked training data. The device may train a masked event C-BERT model, with the masked training data, to generate pretrained weights and a trained masked event C-BERT model, and may train an event aware C-BERT model, with the training data and the pretrained weights, to generate a trained event aware C-BERT model. The device may receive natural language text data identifying natural language events, and may process the natural language text data, with the trained masked event C-BERT model, to determine weights. The device may process the natural language text data and the weights, with the trained event aware C-BERT model, to predict causality relationships between the natural language events, and may perform actions, based on the causality relationships.

公开(公告)号：US20180165379A1

公开(公告)日：2018-06-14

申请号：US15487061

申请日：2017-04-13

Applicant: Accenture Global Solutions Limited

Inventor： Roshni Ramesh RAMNANI ,  Harshawardhan MADHUKAR WABGAONKAR ,  Shubhashi Sengupta ,  Sanjay Podder ,  Neville Dubash ,  Tirupal Rao RAVILLA ,  Sumitraj GANAPAT PATIL ,  Rakesh THIMMAIAH ,  Priyavanshi Pathania ,  Reeja Jose ,  Chaitra Hareesh

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06N20/00 ,  G06F16/90332 ,  G06N3/006

Abstract: A device may receive first information that identifies an input associated with a virtual agent application executing on a user device. The virtual agent application may provide an interface for a project involving a plurality of user devices. The device may determine, based on the first information that identifies the input, a first response based on second information. The device may determine, based on at least one of the first information that identifies the input or the first response and without user input, a second response. The device may provide, to the virtual agent application of the user device, fourth information that identifies at least one of the first response or the second response.