Patents by Inventor Enav Weinreb
Enav Weinreb 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: 11222052Abstract: Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.Type: GrantFiled: May 24, 2019Date of Patent: January 11, 2022Inventors: Shai Hertz, Mans Olof-Ors, Enav Weinreb, Oren Hazai, Geoff Horrell, Yael Lindman, Yehonatan Mataraso, Phani Nivarthi
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Patent number: 10990897Abstract: Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as THOMSON REUTERS SELF-SERVICE CLASSIFICATION™, employ part machine learning and part an user interactive approach to generate a customized classification model. The system combines a novel approach for text classification using a smaller initial set of data to initiate training, with a unique workflow and user interaction for customization.Type: GrantFiled: April 4, 2017Date of Patent: April 27, 2021Inventors: Hila Zarosim, Oren Hazai, Ofri Rom, Ehud Azikri, Lior Weintraub, Yael Lindman, Enav Weinreb, Savva Khalaman, Yossi Ben-Shlomo, Dmitry Levinson, Evyatar Sharabi, Alexandra Rabinovich Goldshlager, Shai Hertz
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Patent number: 10891421Abstract: The present disclosure is directed to methods, systems and programs for adjusting tagging of files. An illustrative method includes receiving a request to upload at least one document from a user via processor, assigning a first metadata tag via processor to at least one word contained within the at least one document, wherein the first metadata tag identifies the at least one word as an alias for a first unique entity, delivering the at least one document to the user including the first metadata tag via processor, receiving feedback via processor from the user relating to the assignment of the first metadata tag to the at least one word, determining at least one potential adjustment for the assignment of the first metadata tag via processor, sending information to the user proposing the at least one potential adjustment via processor, and receiving confirmation information from the user concerning the potential adjustment.Type: GrantFiled: December 18, 2017Date of Patent: January 12, 2021Assignee: Refinitiv US Organization LLCInventors: Enav Weinreb, Rani Shlivinski, Shai Hertz, Shai Taub, Yaniv Ben-Meir, Chen Weiss, Dmitry Levinson, Danel Kotev, Lior Gelernter, Saar Miron
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Publication number: 20190361960Abstract: The present disclosure is directed to methods, systems and programs for adjusting tagging of files. An illustrative method includes receiving a request to upload at least one document from a user via processor, assigning a first metadata tag via processor to at least one word contained within the at least one document, wherein the first metadata tag identifies the at least one word as an alias for a first unique entity, delivering the at least one document to the user including the first metadata tag via processor, receiving feedback via processor from the user relating to the assignment of the first metadata tag to the at least one word, determining at least one potential adjustment for the assignment of the first metadata tag via processor, sending information to the user proposing the at least one potential adjustment via processor, and receiving confirmation information from the user concerning the potential adjustment.Type: ApplicationFiled: December 18, 2017Publication date: November 28, 2019Inventors: Enav Weinreb, Rani Shlivinski, Shai Hertz, Shai Taub, Yaniv Ben-Meir, Chen Weiss, Dmitry Levinson, Danel Kotev, Lior Gelernter, Saar Miron
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Publication number: 20190354544Abstract: Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.Type: ApplicationFiled: May 24, 2019Publication date: November 21, 2019Applicant: Refinitiv US Organization LLCInventors: Shai Hertz, Mans Olof-Ors, Enav Weinreb, Oren Hazai, Geoff Horrell, Yael Lindman, Yehonatan Mataraso, Phani Nivarthi
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Patent number: 10394837Abstract: The present invention provides a digital communications system for receiving and integrating multiple service communication feeds into an overall composite deliverable by way of an enhanced and interactive user interface. The system receives peer identification and scoring communications signals from multiple services and based on known handshake configurations links peer identification data to dimensions used to generate an integrated peer identification score and list. A graphical user interface allows users to modify the dimension aggregator function to obtain customizable sets of results based on services communications feeds.Type: GrantFiled: October 29, 2015Date of Patent: August 27, 2019Assignee: Refinitiv US Organization LLCInventors: Mans Olof-Ors, Marc Kukura, Sam Chadwick, Enav Weinreb, Peter Pircher
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Publication number: 20190188247Abstract: The present disclosure is directed to methods, systems and programs for adjusting tagging of files. An illustrative method includes receiving a request to upload at least one document from a user via processor, assigning a first metadata tag via processor to at least one word contained within the at least one document, wherein the first metadata tag identifies the at least one word as an alias for a first unique entity, delivering the at least one document to the user including the first metadata tag via processor, receiving feedback via processor from the user relating to the assignment of the first metadata tag to the at least one word, determining at least one potential adjustment for the assignment of the first metadata tag via processor, sending information to the user proposing the at least one potential adjustment via processor, and receiving confirmation information from the user concerning the potential adjustment.Type: ApplicationFiled: December 18, 2017Publication date: June 20, 2019Inventors: Enav Weinreb, Rani Shlivinski, Shai Hertz, Shai Taub, Yaniv Ben-Meir, Chen Weiss, Dmitry Levinson, Danel Kotev, Lior Gelernter, Saar Miron
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Patent number: 10303999Abstract: Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.Type: GrantFiled: May 31, 2017Date of Patent: May 28, 2019Assignee: Refinitiv US Organization LLCInventors: Shai Hertz, Mans Olof-Ors, Enav Weinreb, Oren Hazai, Geoff Horrell, Yael Lindman, Yehonatan Mataraso, Phani Nivarthi
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Publication number: 20180082183Abstract: Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.Type: ApplicationFiled: May 31, 2017Publication date: March 22, 2018Applicant: Thomson Reuters Global ResourcesInventors: Shai Hertz, Mans Olof-Ors, Enav Weinreb, Oren Hazai, Geoff Horrell, Yael Lindman, Yoni Mataraso, Phani Nivarthi
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Publication number: 20170286869Abstract: Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as THOMSON REUTERS SELF-SERVICE CLASSIFICATION™, employ part machine learning and part an user interactive approach to generate a customized classification model. The system combines a novel approach for text classification using a smaller initial set of data to initiate training, with a unique workflow and user interaction for customization.Type: ApplicationFiled: April 4, 2017Publication date: October 5, 2017Inventors: Hila Zarosim, Oren Hazai, Ofri Rom, Ehud Azikri, Lior Weintraub, Yael Lindman, Enav Weinreb, Savva Khalaman, Yossi Ben-Shlomo, Dmitry Levinson, Evyatar Sharabi, Alexandra Rabinovich Goldshlager, Shai Hertz
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Patent number: 9588955Abstract: A multi-component software system facility matches unpublished academic manuscripts with a list or set of recommended potential “best fit” publications, e.g., journals, e.g., those publications determined most likely to accept the manuscript for publication. Upon selecting from a set of recommended publications a user may electronically upload or submit or transmit the unpublished article or work or manuscript to a target publication review and editing system. The present invention provides a client or web-based interface to effectively integrate word processor and bibliographic management software and other resources, including third-party authority databases.Type: GrantFiled: September 16, 2013Date of Patent: March 7, 2017Inventors: Jason Rollins, Ellen Rotenberg, Enav Weinreb, Hassan H. Malik, Shai Hertz
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Publication number: 20160154856Abstract: The present invention provides a digital communications system for receiving and integrating multiple service communication feeds into an overall composite deliverable by way of an enhanced and interactive user interface. The system receives peer identification and scoring communications signals from multiple services and based on known handshake configurations links peer identification data to dimensions used to generate an integrated peer identification score and list. A graphical user interface allows users to modify the dimension aggregator function to obtain customizable sets of results based on services communications feeds.Type: ApplicationFiled: October 29, 2015Publication date: June 2, 2016Applicant: THOMSON REUTERS GLOBAL RESOURCESInventors: Mans Olof-Ors, Marc Kukura, Sam Chadwick, Enav Weinreb, Peter Pircher
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Publication number: 20150082156Abstract: A multi-component software system facility matches unpublished academic manuscripts with a list or set of recommended potential “best fit” publications, e.g., journals, e.g., those publications determined most likely to accept the manuscript for publication. Upon selecting from a set of recommended publications a user may electronically upload or submit or transmit the unpublished article or work or manuscript to a target publication review and editing system. The present invention provides a client or web-based interface to effectively integrate word processor and bibliographic management software and other resources, including third-party authority databases.Type: ApplicationFiled: September 16, 2013Publication date: March 19, 2015Inventors: Jason Rollins, Ellen Rotenberg, Enav Weinreb, Hassan H. Malik, Shai Hertz