公开(公告)号：US11501080B2

公开(公告)日：2022-11-15

申请号：US16730093

申请日：2019-12-30

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Shaun Cyprian D'Souza ,  Subhashini Lakshminarayanan ,  Gopali Raval Contractor

IPC: G06F40/00 ,  G06F40/30 ,  G06N20/00 ,  G06F16/22 ,  G06F16/242 ,  G06N5/04 ,  G06N3/00 ,  G06F40/295 ,  G06F40/205

Abstract: Examples of a sentence phrasing system are provided. The system may obtain a user question from a user. The system may obtain question entailment data from a plurality of data sources. The system may implement an artificial intelligence component to identify a word index from the question entailment data and to identify a question premise from the user question. The system may implement a first cognitive learning operation to determine an answer premise corresponding to the question premise comprising a second-word data set. The system may determine a subject component corresponding to the question premise. The system may generate an object component and a predicate component from the second-word data set corresponding to the subject component. The system may generate an integrated answer relevant for resolving the user question and comprising the subject component, the object component, and the predicate component concatenated to form an answer sentence.

公开(公告)号：US11455543B2

公开(公告)日：2022-09-27

申请号：US16653523

申请日：2019-10-15

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Shaun Cyprian D'Souza ,  Ashutosh Pandey ,  Binit Kumar Bhagat ,  Vijay Apparao Patil ,  Chaitanya Teegala ,  Sangeetha Basavaraj ,  Eldhose Joy ,  Nikita Ramesh Rao ,  Harsha Jawagal

IPC: G06N5/00 ,  G06N5/02 ,  G06F40/30 ,  G06F40/49 ,  G06N3/04 ,  G06N3/08

Abstract: Examples of a textual entailment generation system are provided. The system obtains a query from a user and implements an artificial intelligence component to identify a premise, a word index, and a premise index associated with the query. The system may implement a first cognitive learning operation to determine a plurality of hypothesis and a hypothesis index corresponding to the premise. The system may generate a confidence index for each of the plurality of hypothesis based on a comparison of the hypothesis index with the premise index. The system may determine an entailment value, a contradiction value, and a neutral entailment value based on the confidence index for each of the plurality of hypothesis. The system may generate an entailment result relevant for resolving the query comprising the plurality of hypothesis along with the corresponding entailed output index.

公开(公告)号：US11176598B2

公开(公告)日：2021-11-16

申请号：US16215293

申请日：2018-12-10

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Shaun Cyprian D'Souza ,  Hussain M. Boxwala ,  Vaibhav Vijay Kotwal ,  Sudharshan Reddy ,  Annapurna Patcharla ,  Suman Mishra ,  Swaminathan Gopalakrishnan ,  Harsha Jawagal

IPC: G06Q30/00 ,  G06Q30/06 ,  G06N3/08 ,  G06N3/04

Abstract: In some examples, artificial intelligence and machine learning based conversational agent may include ascertaining, based on a chat conducted with a conversational chatbot, a request by a user to purchase a product, and an attribute associated with the user. An intent associated with the user to purchase the product may be generated. Further, a catalog that includes a plurality of products that match the request by the user to purchase the product may be generated. Selection of a product from the plurality of products may be received. Identification of a quantity associated with the selected product may be received. A purchase request may be generated. A purchase order associated with the selected product may be generated. Further, based on the purchase order associated with the selected product, the selected product may be procured for the user.