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：US20230072297A1

公开(公告)日：2023-03-09

申请号：US17461232

申请日：2021-08-30

Applicant: Accenture Global Solutions Limited

Inventor： Subhashini Lakshminarayanan ,  Gopali Raval Contractor ,  Rajashree Chandrashekar

IPC: G06Q50/18 ,  G06F40/279 ,  G06N5/04

Abstract: A knowledge graph based reasoning recommendation system and method may analyze past concluded legal cases to find patterns and predict the outcomes of new legal cases before or during litigation. These patterns and outcomes may be used to determine a recommendation for a legal strategy. Input documents and/or enterprise claim data from past concluded cases may be combined and processed to calculate an association rule for the legal outcome associated with one or more of the claim type, counsel, and judge for the group of similar cases based on the analysis of individual cases within the group. Features extracted from the input documents from the past concluded cases and the calculated association rules may be incorporated into a knowledge graph, along with features extracted from input documents from new legal cases. A Policy-Guided Path Reasoning (PGPR) may be applied over the knowledge graph to calculate which legal strategy to recommend. The recommended legal strategy, as well as the reasoning for recommending the legal strategy may be displayed to a user.

公开(公告)号：US11416867B2

公开(公告)日：2022-08-16

申请号：US16906044

申请日：2020-06-19

Applicant: Accenture Global Solutions Limited

Inventor： Maria Lopes ,  Gopali Raval Contractor ,  Subhashini Lakshminarayanan ,  Prasanna S R ,  Parag Rane ,  Arati Deo ,  Azimullah Shahzad ,  Vallinath Sriramula

IPC: G06Q40/00 ,  G06Q20/40 ,  G06Q20/42 ,  G06N3/04

Abstract: A device may receive transaction data associated with transactions. The transaction data may be associated with transaction entries that are associated with the transactions. The device may process, using a matching model, the transaction entries to classify the transaction entries into a set of matched transaction entries and a set of unmatched transaction entries. The device may update a transaction grouping model based on the set of matched transaction entries to create an updated transaction grouping model. The device may determine, using the updated transaction grouping model, that a subset of the set of unmatched transaction entries are associated with a same transaction. The device may classify the subset of the set of unmatched transaction entries as grouped transaction entries. The device may provide an indication that the grouped transaction entries and the set of matched transaction entries are reconciled transactions.

公开(公告)号：US11562373B2

公开(公告)日：2023-01-24

申请号：US16986608

申请日：2020-08-06

Applicant: Accenture Global Solutions Limited

Inventor： Subhashini Lakshminarayanan ,  Gopali Raval Contractor ,  Shantanu Ss

IPC: G06Q30/00 ,  G06F40/00 ,  G06N3/04 ,  G06N3/08 ,  G06Q10/00 ,  G06Q10/10 ,  G06Q30/02 ,  G06Q40/08 ,  G06Q50/00 ,  G06Q50/26 ,  G06F40/40

Abstract: A device may consolidate the input data associated with vehicle insurance claims to generate processed input data. The device may process claims data, treatment data, and repair shop data to resolve ambiguities in the processed input data and to generate resolved data. The device may process the resolved data to generate related data identifying relations between persons and vehicle accidents. The device may process notes of claims adjusters and vehicle accident descriptions to extract feature data identifying features. The device may process the feature data to determine contradiction data identifying contradictions in the feature data. The device may process weather data, location data, and telematics data to determine weather conditions and locations associated with the accidents. The device may process the related data, the contradiction data, the weather conditions, and the locations to generate a knowledge graph. The device may identify a fraud ring based on the knowledge graph.