Patents by Inventor Jose Hernando
Jose Hernando 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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Publication number: 20170039272Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: August 10, 2016Publication date: February 9, 2017Inventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J. Stark, Navdeep S. Dhillon, Diana Schwend, Jose Hernando
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Patent number: 9471670Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: GrantFiled: February 14, 2014Date of Patent: October 18, 2016Assignee: VCVC III LLCInventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J. Stark, Navdeep S. Dhillon, Diana Schwend, Jose Hernando
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Publication number: 20140229467Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: February 14, 2014Publication date: August 14, 2014Applicant: Vulcan Inc.Inventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J. Stark, Navdeep S. Dhillon, Diana Schwend, Jose Hernando
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Patent number: 8700604Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: GrantFiled: October 16, 2008Date of Patent: April 15, 2014Assignee: Evri, Inc.Inventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J Stark, Navdeep S Dhillon, Diana J Schwend, Jose Hernando
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Publication number: 20090150388Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: October 16, 2008Publication date: June 11, 2009Inventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J. Stark, Navdeep S. Dhillon, Diana J. Schwend, Jose Hernando
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Publication number: 20070042718Abstract: Outer loop power control (OLPC) method and apparatus for mobile communications systems which allow rapid adjustment of the target desired signal to interference ratio (SIRtarget) satisfying a target block error rate (BLERtarget). Specifically, the outer loop power control method proposed herein is termed “Outage-Based OLPC” and establishes that the target desired signal to interference ratio (SIRtarget) is given as the sum of two components: the first component (SIRoutage-tgt) is calculated by means of a dynamic adjusting function, for example, a neural network which makes a quality criterion based on outage probabilities correspond with one based on the target block error rate (BLERtarget), taking as input the fading margins associated with the different outage probabilities considered; the other component (SIRBLER-tgt) is that which acts to correct the possible deviations in the target block error rate (BLERtarget) due to the non-ideal behaviour of the previous component (SIRoutage-tgt).Type: ApplicationFiled: December 1, 2005Publication date: February 22, 2007Inventors: Alfonso Camacho, Alvaro Medrano, Miguel Carmona, Luis Tomas, Jose Hernando Rabanos
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Publication number: 20070042719Abstract: The method and device proposed for wireless communications systems based on WCDMA technology modifies the desired signal to interference ratio target (SIRtarget) when it detects the exit from the wind-up condition in the mobile communication, that is, when the unwinding process has started, in order to match it to the outer loop power control in normal mode, setting for this desired signal to interference ratio target (SIRtarget) a value that is as close as possible to that which it had just before the moment of the start of the wind-up so that immediate afterwards it can continue with the correct variation determined by the power control in the normal mode of the outer loop. Thus, the unwinding time is shortened and the interference in the mobile communication system is reduced, while its capacity and the quality of its wireless connections are increased.Type: ApplicationFiled: December 1, 2005Publication date: February 22, 2007Inventors: Alfonso Campo Camacho, Alvaro Lopez Medrano, Miguel Blanco Carmona, Luis Mendo Tomas, Jose Hernando Rabanos