公开(公告)号：US20200035229A1

公开(公告)日：2020-01-30

申请号：US16044031

申请日：2018-07-24

申请人： ACCENTURE GLOBAL SOLUTIONS LIMITED

发明人： Anshul SOLANKI ,  Akanksha JUNEJA ,  Bibudh LAHIRI ,  Anurag TRIPATHI ,  Sonam GUPTA ,  Rinki ARYA

IPC分类号： G10L15/18 ,  G10L15/10 ,  G10L15/26 ,  G06K9/62 ,  G10L15/22

摘要： 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.

公开(公告)号：US20200074311A1

公开(公告)日：2020-03-05

申请号：US16119774

申请日：2018-08-31

申请人： ACCENTURE GLOBAL SOLUTIONS LIMITED

发明人： 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

IPC分类号： G06N5/02 ,  G06Q10/10 ,  G06F17/30

摘要： 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.