Patents by Inventor Akanksha JUNEJA
Akanksha JUNEJA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11501549Abstract: A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.Type: GrantFiled: June 30, 2020Date of Patent: November 15, 2022Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Sawani Bade, Srinivasan Ponpathirkoottam Raghavan, Samatha Kottha, Shruti Chhabra, Praneeth Medhatithi Shishtla, Debayan Chakraborty, Sreerekha T. V., Himani Bhatt, Amit Nandi, Akanksha Juneja, Soubhagya Ranjan Mohapatra, Ashok Kumar Shivarajan, Kedar Bhat, Karthick Selvamuthukumaran
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Patent number: 11392835Abstract: Examples of employee concierge are provided. In an example, an issue may be determined for an employee. The issue may be determined based on a query shared by the employee or upon occurrence of an unusual event. The unusual event may be indicative of a deviation in behaviour and routine of the employee. A session may be initiated and the issue may be parsed to determine a context. A bot may be selected from multiple bots for the issue where each bot includes information relating to a solution to address the issue. Data associated with the issue may be collected from a central database and other bots. The data may then be analyzed to determine a solution. The solution comprises a response to the query and a suggestion to mitigate the unusual event.Type: GrantFiled: August 31, 2018Date of Patent: July 19, 2022Assignee: ACCENTUREGLOBAL SOLUTIONS LIMITEDInventors: Chung-Sheng Li, Emmanuel Munguia Tapia, Guanglei Xiong, Jill K. Goldstein, Jingyun Fan, Rajeev Sinha, Manoj Shroff, Golnaz Ghasemiesfeh, Kayhan Moharreri, Swati Tata, Pratip Samanta, Madhura Shivaram, Akanksha Juneja, Anshul Solanki, Jorjeta Jetcheva, Priyanka Chowdhary, Rishi Vig, Kyle Patrick Johnson, Mohammad Jawad Ghorbani
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Publication number: 20210357633Abstract: A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.Type: ApplicationFiled: June 30, 2020Publication date: November 18, 2021Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Sawani BADE, Srinivasan Ponpathirkoottam Raghavan, Samatha Kottha, Shruti Chhabra, Praneeth Medhatithi Shishtla, Debayan Chakraborty, Sreerekha T. V., Himani Bhatt, Amit Nandi, Akanksha Juneja, Soubhagya Ranjan Mohapatra, Ashok Kumar Shivarajan, Kedar Bhat, Karthick Selvamuthukumaran
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Patent number: 10783877Abstract: A system for categorizing words into clusters includes a receiver to receive a set of sentences formed by a plurality of words. The set of sentences is indicative of interaction of a user with a virtual assistant. A categorizer categorizes the plurality of words into a first set of clusters by using a first clustering technique, and categorizes the plurality of words into a second set of clusters by using a second clustering technique. A detector detects words that appear in similar clusters after categorization by the first clustering technique and the second clustering technique. Similarity of clusters is based on a nature of words forming the clusters. A generator generates a confidence score for each of the plurality of words based on the detection. The confidence score of a word is indicative of accuracy of the categorization of the word.Type: GrantFiled: July 24, 2018Date of Patent: September 22, 2020Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Anshul Solanki, Akanksha Juneja, Bibudh Lahiri, Anurag Tripathi, Sonam Gupta, Rinki Arya
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Publication number: 20200074311Abstract: Examples of employee concierge are provided. In an example, an issue may be determined for an employee. The issue may be determined based on a query shared by the employee or upon occurrence of an unusual event. The unusual event may be indicative of a deviation in behaviour and routine of the employee. A session may be initiated and the issue may be parsed to determine a context. A bot may be selected from multiple bots for the issue where each bot includes information relating to a solution to address the issue. Data associated with the issue may be collected from a central database and other bots. The data may then be analyzed to determine a solution. The solution comprises a response to the query and a suggestion to mitigate the unusual event.Type: ApplicationFiled: August 31, 2018Publication date: March 5, 2020Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Chung-Sheng LI, Emmanuel MUNGUIA TAPIA, Guanglei XIONG, Jill K. GOLDSTEIN, Jingyun FAN, Rajeev SINHA, Manoj SHROFF, Golnaz GHASEMIESFEH, Kayhan MOHARRERI, Swati TATA, Pratip SAMANTA, Madhura SHIVARAM, Akanksha JUNEJA, Anshul SOLANKI, Jorjeta JETCHEVA, Priyanka CHOWDHARY, Rishi VIG, Kyle Patrick JOHNSON, Mohammad Jawad GHORBANI
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Publication number: 20200035229Abstract: A system for categorizing words into clusters includes a receiver to receive a set of sentences formed by a plurality of words. The set of sentences is indicative of interaction of a user with a virtual assistant. A categorizer categorizes the plurality of words into a first set of clusters by using a first clustering technique, and categorizes the plurality of words into a second set of clusters by using a second clustering technique. A detector detects words that appear in similar clusters after categorization by the first clustering technique and the second clustering technique. Similarity of clusters is based on a nature of words forming the clusters. A generator generates a confidence score for each of the plurality of words based on the detection. The confidence score of a word is indicative of accuracy of the categorization of the word.Type: ApplicationFiled: July 24, 2018Publication date: January 30, 2020Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Anshul SOLANKI, Akanksha JUNEJA, Bibudh LAHIRI, Anurag TRIPATHI, Sonam GUPTA, Rinki ARYA