Patents Assigned to Manning & Napier Information Services, LLC.
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Patent number: 8595031Abstract: A method and apparatus for coordinating payment of healthcare expenses is disclosed. The method comprises determining a co-payment amount based on a customer's insurance coverage, determining the availability of funds from a plurality of the consumer's prioritized accounts, and deducting at least a portion of the co-payment from the highest priority account having available funds.Type: GrantFiled: November 5, 2003Date of Patent: November 26, 2013Assignee: Manning & Napier Information Services, LLCInventors: Michael P. Heffley, Michael J. Colson, Scott Strozyk, Robert M. States
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Patent number: 8219420Abstract: A method and apparatus for coordinating payment of healthcare expenses is disclosed. The method comprises determining a co-payment amount based on a customer's insurance coverage, determining the availability of funds from a plurality of the consumer's prioritized accounts, and deducting at least a portion of the co-payment from the highest priority account having available funds.Type: GrantFiled: December 13, 2002Date of Patent: July 10, 2012Assignee: Manning & Napier Information Services, LLCInventors: Michael P. Heffley, Robert M. States, Michael J. Colson
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Patent number: 8024331Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.Type: GrantFiled: June 2, 2008Date of Patent: September 20, 2011Assignee: Manning & Napier Information Services, LLC.Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
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Publication number: 20080281814Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.Type: ApplicationFiled: June 2, 2008Publication date: November 13, 2008Applicant: MANNING & NAPIER INFORMATION SERVICES, LLCInventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
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Patent number: 7444356Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.Type: GrantFiled: April 14, 2004Date of Patent: October 28, 2008Assignee: Manning & Napier Information Services, LLC.Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
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Patent number: 7406456Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.Type: GrantFiled: April 14, 2004Date of Patent: July 29, 2008Assignee: Manning & Napier Information Services, LLC.Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
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Patent number: 7299247Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.Type: GrantFiled: April 14, 2004Date of Patent: November 20, 2007Assignee: Manning & Napier Information Services, LLC.Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
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Patent number: 6999914Abstract: The invention includes a method and a device for determining an emotive index for a message. In the method, a message is received and words in the message are identified for analysis. An emotive index corresponding to the identified words is then determined. The emotive index is preferably a function of a word count index corresponding to the number of identified words, an affinity index and an antagonism index. A device according to the present invention includes a computer readable storage medium having encoded thereon computer readable instructions capable of instructing a computer to carry out the method.Type: GrantFiled: September 28, 2000Date of Patent: February 14, 2006Assignee: Manning And Napier Information Services LLCInventors: Peer Boerner, James Frey
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Publication number: 20040199505Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.Type: ApplicationFiled: April 14, 2004Publication date: October 7, 2004Applicant: MANNING & NAPIER INFORMATION SERVICES, LLCInventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
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Publication number: 20040199546Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate, a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.Type: ApplicationFiled: April 14, 2004Publication date: October 7, 2004Applicant: MANNING & NAPIER INFORMATION SERVICES, LLCInventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
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Publication number: 20040193414Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.Type: ApplicationFiled: April 14, 2004Publication date: September 30, 2004Applicant: MANNING & NAPIER INFORMATION SERVICES, LLCInventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
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Patent number: 6751621Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.Type: GrantFiled: May 2, 2000Date of Patent: June 15, 2004Assignee: Manning & Napier Information Services, LLC.Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
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Patent number: 6041331Abstract: According to the present invention, a method for extracting information from a plurality of documents for display. Information is extracted from a set of documents according to a set of pre-defined categories. A visual representation of the extracted information is provided to a user, who can apply one or more filters to the information in order to produce for display a visual representation of information content in the filtered information.Type: GrantFiled: December 12, 1997Date of Patent: March 21, 2000Assignee: Manning and Napier Information Services, LLCInventors: Michael L. Weiner, John Jacob Kolb V, Todd Chronis