Patents by Inventor Clayton Nicholas
Clayton Nicholas 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: 11816438Abstract: NLP techniques are disclosed that apply computer technology to sentence data for performing entity referencing. For example, a processor can parse sentence data in a defined window of sentence data into a list of entity terms and a plurality of classifications associated with the listed entity terms. A processor can also a plurality of context saliency scores for a plurality of the listed entity terms based on the classifications associated with the listed entity terms as well as maintain a list of referring terms corresponding to the listed entity terms. For new sentence data that includes a referring term from the referring term list, a processor can (i) select a corresponding entity term on the entity term list based on the context saliency scores for the entity terms, and (ii) infer that the referring term in the new sentence data refers to the selected corresponding entity term.Type: GrantFiled: May 20, 2021Date of Patent: November 14, 2023Assignee: Narrative Science Inc.Inventors: Michael Tien Thinh Pham, Nathan William Krapf, Stephen Emmanuel Hudson, Clayton Nicholas Norris
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Patent number: 11816435Abstract: Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.Type: GrantFiled: February 15, 2019Date of Patent: November 14, 2023Assignee: Narrative Science Inc.Inventors: Maia Lewis Meza, Clayton Nicholas Norris, Michael Justin Smathers, Daniel Joseph Platt, Nathan D. Nichols
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Patent number: 11182556Abstract: Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.Type: GrantFiled: February 15, 2019Date of Patent: November 23, 2021Assignee: NARRATIVE SCIENCE INC.Inventors: Maia Lewis Meza, Clayton Nicholas Norris, Michael Justin Smathers, Daniel Joseph Platt, Nathan D. Nichols
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Patent number: 11126798Abstract: Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.Type: GrantFiled: February 15, 2019Date of Patent: September 21, 2021Assignee: NARRATIVE SCIENCE INC.Inventors: Maia Lewis Meza, Clayton Nicholas Norris, Michael Justin Smathers, Daniel Joseph Platt, Nathan D. Nichols
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Publication number: 20210271824Abstract: NLP techniques are disclosed that apply computer technology to sentence data for performing entity referencing. For example, a processor can parse sentence data in a defined window of sentence data into a list of entity terms and a plurality of classifications associated with the listed entity terms. A processor can also a plurality of context saliency scores for a plurality of the listed entity terms based on the classifications associated with the listed entity terms as well as maintain a list of referring terms corresponding to the listed entity terms. For new sentence data that includes a referring term from the referring term list, a processor can (i) select a corresponding entity term on the entity term list based on the context saliency scores for the entity terms, and (ii) infer that the referring term in the new sentence data refers to the selected corresponding entity term.Type: ApplicationFiled: May 20, 2021Publication date: September 2, 2021Inventors: Michael Tien Thinh Pham, Nathan William Krapf, Stephen Emmanuel Hudson, Clayton Nicholas Norris
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Patent number: 11042709Abstract: Context Saliency-Based Deictic Parser for Natural Language Processing NLP techniques are disclosed that apply computer technology to sentence data for performing entity referencing. For example, a processor can parse sentence data in a defined window of sentence data into a list of entity terms and a plurality of classifications associated with the listed entity terms. A processor can also a plurality of context saliency scores for a plurality of the listed entity terms based on the classifications associated with the listed entity terms as well as maintain a list of referring terms corresponding to the listed entity terms. For new sentence data that includes a referring term from the referring term list, a processor can (i) select a corresponding entity term on the entity term list based on the context saliency scores for the entity terms, and (ii) infer that the referring term in the new sentence data refers to the selected corresponding entity term.Type: GrantFiled: December 27, 2018Date of Patent: June 22, 2021Assignee: NARRATIVE SCIENCE INC.Inventors: Michael Tien Thinh Pham, Nathan William Krapf, Stephen Emmanuel Hudson, Clayton Nicholas Norris
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Patent number: 11042708Abstract: NLG techniques are disclosed that apply computer technology to sentence data for performing entity referencing. For example, a processor can parse sentence data in a defined window of sentence data into a list of entity terms and a plurality of classifications associated with the listed entity terms. A processor can also compute a plurality of context saliency scores for a plurality of the listed entity terms based on the classifications associated with the listed entity terms. For new sentence data that refers to an entity term from the entity term list, a processor can select a referring term for referencing that entity term from a list of candidate referring terms based on the context saliency scores for the entity terms. A processor can then form the new sentence data such that the new sentence data includes the selected referring term to refer to the at least one entity term.Type: GrantFiled: December 27, 2018Date of Patent: June 22, 2021Assignee: NARRATIVE SCIENCE INC.Inventors: Michael Tien Thinh Pham, Nathan William Krapf, Stephen Emmanuel Hudson, Clayton Nicholas Norris
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Patent number: 11030408Abstract: Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.Type: GrantFiled: February 15, 2019Date of Patent: June 8, 2021Assignee: NARRATIVE SCIENCE INC.Inventors: Maia Lewis Meza, Clayton Nicholas Norris, Michael Justin Smathers, Daniel Joseph Platt, Nathan D. Nichols
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Patent number: 10755046Abstract: Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.Type: GrantFiled: February 15, 2019Date of Patent: August 25, 2020Assignee: NARRATIVE SCIENCE INC.Inventors: Maia Lewis Meza, Clayton Nicholas Norris, Michael Justin Smathers, Daniel Joseph Platt, Nathan D. Nichols
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Patent number: 9639974Abstract: Systems, methods, apparatuses, and computer readable medium are provided that cause a two dimensional image to appear three dimensional and also create a dynamic or animated illustrated images. The systems, methods, apparatuses and computer readable mediums implement displacement maps in a number of novel ways in conjunction with among other software, facial feature recognition software to recognize the areas of the face and allow the users to then customize those areas that are recognized. Furthermore, the created displacement maps are used to create all of the dynamic effects of an image in motion.Type: GrantFiled: May 21, 2015Date of Patent: May 2, 2017Assignee: Facecake Technologies, Inc.Inventors: Linda Smith, Clayton Nicholas Graff, John Szeder
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Publication number: 20150254892Abstract: Systems, methods, apparatuses, and computer readable medium are provided that cause a two dimensional image to appear three dimensional and also create a dynamic or animated illustrated images. The systems, methods, apparatuses and computer readable mediums implement displacement maps in a number of novel ways in conjunction with among other software, facial feature recognition software to recognize the areas of the face and allow the users to then customize those areas that are recognized. Furthermore, the created displacement maps are used to create all of the dynamic effects of an image in motion.Type: ApplicationFiled: May 21, 2015Publication date: September 10, 2015Inventors: Linda Smith, Clayton Nicholas Graff, John Szeder
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Patent number: 9064344Abstract: Systems, methods, apparatuses, and computer readable medium are provided that cause a two dimensional image to appear three dimensional and also create a dynamic or animated illustrated images. The systems, methods, apparatuses and computer readable mediums implement displacement maps in a number of novel ways in conjunction with among other software, facial feature recognition software to recognize the areas of the face and allow the users to then customize those areas that are recognized. Furthermore, the created displacement maps are used to create all of the dynamic effects of an image in motion.Type: GrantFiled: February 28, 2010Date of Patent: June 23, 2015Assignee: FACECAKE TECHNOLOGIES, INC.Inventors: Linda Smith, Clayton Nicholas Graff, John Szeder
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Publication number: 20100271365Abstract: Systems, methods, apparatuses, and computer readable medium are provided that cause a two dimensional image to appear three dimensional and also create a dynamic or animated illustrated images. The systems, methods, apparatuses and computer readable mediums implement displacement maps in a number of novel ways in conjunction with among other software, facial feature recognition software to recognize the areas of the face and allow the users to then customize those areas that are recognized. Furthermore, the created displacement maps are used to create all of the dynamic effects of an image in motion.Type: ApplicationFiled: February 28, 2010Publication date: October 28, 2010Inventors: Linda Smith, Clayton Nicholas Graff, John Szeder
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Publication number: 20070008082Abstract: The activation of a rear view video display in a vehicle is interrupted under specified operating conditions to discourage inappropriate driver reliance on the video display. The video display is automatically activated when the reverse transmission range of the vehicle is selected, but is deactivated if the vehicle speed in the reverse range exceeds a calibrated threshold such as 2-3 MPH. When the vehicle speed falls back below the threshold, the video display is automatically re-activated, thereby encouraging the driver to use the video display only for the purposes for which it was designed, and to use other ways of obtaining a more comprehensive rearward view when backing at speeds in excess of the threshold.Type: ApplicationFiled: June 8, 2005Publication date: January 11, 2007Inventors: Clayton Nicholas, Paul Martindale