Patents by Inventor Scott Robert Carrier
Scott Robert Carrier 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: 11557303Abstract: In a frictionless handoff of audio content playing, a client device listens for ultrasonic audio. The client hears a playing of a modified audio content by another client device, which includes audio content and an ultrasonic audio quick response (QR) code overlaid on the audio content. The ultrasonic audio QR code includes location information corresponding to a location in the audio content. The client device extracts the ultrasonic audio QR code from the modified audio content. After determining that the playing of the modified audio content has stopped, the client device receives a command to resume playing of the audio content on the client device. In, response to the command, the client device retrieves location information in a last extracted ultrasonic audio QR code and plays the audio content starting at a location in the audio content corresponding to the location information in the last extracted ultrasonic audio QR code.Type: GrantFiled: July 30, 2019Date of Patent: January 17, 2023Assignee: International Business Machines CorporationInventors: Andrew Hicks, Brendan Bull, Scott Robert Carrier, Dwi Sianto Mansjur
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Patent number: 11328007Abstract: Embodiments generally relate to the generation of a domain-specific phrasal dictionary. In some embodiments, a method includes receiving text from a user, wherein the text includes unstructured text of a natural language. The method further includes parsing the text into text chunks. The method further includes sending the text chunks to the user. The method further includes receiving one or more phrase categories and one or more predetermined phrases from the user, wherein each predetermined phrase of the one or more predetermined phrases corresponds to at least one phrase category of the one or more phrase categories. The method further includes comparing the predetermined phrases with the text chunks. The method further includes assigning at least one phrase category of the one or more phrase categories to at least one text chunk. The method further includes sending at least one text chunk and the at least one phrase category that is assigned to the at least one text chunk to the user.Type: GrantFiled: February 4, 2019Date of Patent: May 10, 2022Assignee: International Business Machines CorporationInventors: Dwi Sianto Mansjur, Scott Robert Carrier, Brendan Bull, Andrew Hicks
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Patent number: 11144579Abstract: Techniques for document analysis using machine learning are provided. A selection of an index is received document, and a plurality of documents that refer to the index document is identified. For each respective document in the plurality of documents, a respective portion of the respective document is extracted, where the respective portion refers to the index document, and a respective vector representation is generated for the respective portion. A plurality of groupings is generated for the plurality of documents based on how each of the plurality of documents relate to the index document, by processing the vector representations using a trained classifier. Finally, at least an indication of the plurality of groupings is provided, along with the index document.Type: GrantFiled: February 11, 2019Date of Patent: October 12, 2021Assignee: International Business Machines CorporationInventors: Brendan Bull, Andrew Hicks, Scott Robert Carrier, Dwi Sianto Mansjur
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Publication number: 20210035589Abstract: In a frictionless handoff of audio content playing, a client device listens for ultrasonic audio. The client hears a playing of a modified audio content by another client device, which includes audio content and an ultrasonic audio quick response (QR) code overlaid on the audio content. The ultrasonic audio QR code includes location information corresponding to a location in the audio content. The client device extracts the ultrasonic audio QR code from the modified audio content. After determining that the playing of the modified audio content has stopped, the client device receives a command to resume playing of the audio content on the client device. In, response to the command, the client device retrieves location information in a last extracted ultrasonic audio QR code and plays the audio content starting at a location in the audio content corresponding to the location information in the last extracted ultrasonic audio QR code.Type: ApplicationFiled: July 30, 2019Publication date: February 4, 2021Inventors: Andrew HICKS, Brendan BULL, Scott Robert CARRIER, Dwi Sianto MANSJUR
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Publication number: 20200257709Abstract: Techniques for document analysis using machine learning are provided. A selection of an index is received document, and a plurality of documents that refer to the index document is identified. For each respective document in the plurality of documents, a respective portion of the respective document is extracted, where the respective portion refers to the index document, and a respective vector representation is generated for the respective portion. A plurality of groupings is generated for the plurality of documents based on how each of the plurality of documents relate to the index document, by processing the vector representations using a trained classifier. Finally, at least an indication of the plurality of groupings is provided, along with the index document.Type: ApplicationFiled: February 11, 2019Publication date: August 13, 2020Inventors: BRENDAN BULL, ANDREW HICKS, Scott Robert Carrier, Dwi Sianto Mansjur
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Publication number: 20200250216Abstract: Embodiments generally relate to the generation of a domain-specific phrasal dictionary. In some embodiments, a method includes receiving text from a user, wherein the text includes unstructured text of a natural language. The method further includes parsing the text into text chunks. The method further includes sending the text chunks to the user. The method further includes receiving one or more phrase categories and one or more predetermined phrases from the user, wherein each predetermined phrase of the one or more predetermined phrases corresponds to at least one phrase category of the one or more phrase categories. The method further includes comparing the predetermined phrases with the text chunks. The method further includes assigning at least one phrase category of the one or more phrase categories to at least one text chunk. The method further includes sending at least one text chunk and the at least one phrase category that is assigned to the at least one text chunk to the user.Type: ApplicationFiled: February 4, 2019Publication date: August 6, 2020Inventors: Dwi Sianto MANSJUR, Scott Robert CARRIER, Brendan BULL, Andrew HICKS
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Patent number: 10546004Abstract: A search engine is enhanced to employ user preferences to customize answer output by, receiving a first plurality of candidate answers and weights to a first search query for a first user from a first stage of a non-semantic search engine routing and processing path; augmenting the weights for the plurality of candidate answers according to a set of preference coefficients according to a first set of preferences for the first user; selecting one or more of the first plurality of candidate answers according to the augmented weights; and producing an output including the selected one or more candidate answers.Type: GrantFiled: December 4, 2018Date of Patent: January 28, 2020Assignee: International Business Machines CorporationInventors: Corville O. Allen, Scott Robert Carrier, Scott N. Gerard, Sterling Richardson Smith, David Blake Styles, Eric Woods
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Publication number: 20190317996Abstract: Automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature is accomplished by employing natural language processing and deep semantic analysis of text to create annotations for the literary elements found in a segment or in the entirety of the literature, a weight to each literary element and its associated annotations, wherein the weight indicates an importance or relevance of a literary element to at least the segment of the work of literature; correlating and matching the literary elements to each other to establish one or more interrelationships; and producing an overall weight for the correlated matches.Type: ApplicationFiled: June 26, 2019Publication date: October 17, 2019Inventors: Corville Orain Allen, Scott Robert Carrier, Eric Woods
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Patent number: 10380262Abstract: Automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature is accomplished by employing natural language processing and deep semantic analysis of text to create annotations for the literary elements found in a segment or in the entirety of the literature, a weight to each literary element and its associated annotations, wherein the weight indicates an importance or relevance of a literary element to at least the segment of the work of literature; correlating and matching the literary elements to each other to establish one or more interrelationships; and producing an overall weight for the correlated matches.Type: GrantFiled: August 6, 2018Date of Patent: August 13, 2019Assignee: International Business Machines CorporationInventors: Corville Orain Allen, Scott Robert Carrier, Eric Woods
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Publication number: 20190102344Abstract: A search engine is enhanced to employ user preferences to customize answer output by, receiving a first plurality of candidate answers and weights to a first search query for a first user from a first stage of a non-semantic search engine routing and processing path; augmenting the weights for the plurality of candidate answers according to a set of preference coefficients according to a first set of preferences for the first user; selecting one or more of the first plurality of candidate answers according to the augmented weights; and producing an output including the selected one or more candidate answers.Type: ApplicationFiled: December 4, 2018Publication date: April 4, 2019Inventors: Corville O. Allen, Scott Robert Carrier, Scott N. Gerard, Sterling Richardson Smith, David Blake Styles, Eric Woods
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Publication number: 20190065472Abstract: Deep semantic analysis is performed on an electronic literary work in order to detect plot elements and optional other storyline elements such as characters within the work. Multiple levels of abstract are generated into a model representing the literary work, wherein each element in each abstraction level may be independently rated for preference by a user. Through comparison of multiple abstraction models and one or more user rating preferences, one or more alternative literary works may be automatically recommended to the user.Type: ApplicationFiled: October 26, 2018Publication date: February 28, 2019Inventors: Corville Orain Allen, Scott Robert Carrier, Eric Woods
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Patent number: 10169450Abstract: A semantic search engine is enhanced to employ user preferences to customize answer output by, for a first user, extracting user preferences and sentiment levels associated with a first question; receiving candidate answer results of a semantic search of the first question; weighting the candidate answer results according to the sentiment levels for each of the user preferences; and producing the selected candidate answers to the first user. Optionally, user preferences and sentiment levels may be accumulated over different questions for the same user, or over different users for similar questions. And, supplemental information may be retrieved relative to a user preference in order to further tune the weighting per the preferences and sentiment levels.Type: GrantFiled: June 13, 2017Date of Patent: January 1, 2019Assignee: International Business Machines CorporationInventors: Corville O. Allen, Scott Robert Carrier, Scott N. Gerard, Sterling Richardson Smith, David Blake Styles, Eric Woods
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Publication number: 20180349357Abstract: Automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature is accomplished by employing natural language processing and deep semantic analysis of text to create annotations for the literary elements found in a segment or in the entirety of the literature, a weight to each literary element and its associated annotations, wherein the weight indicates an importance or relevance of a literary element to at least the segment of the work of literature; correlating and matching the literary elements to each other to establish one or more interrelationships; and producing an overall weight for the correlated matches.Type: ApplicationFiled: August 6, 2018Publication date: December 6, 2018Inventors: Corville Orain Allen, Scott Robert Carrier, Eric Woods
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Patent number: 10127225Abstract: Deep semantic analysis is performed on an electronic literary work in order to detect plot elements and optional other storyline elements such as characters within the work. Multiple levels of abstract are generated into a model representing the literary work, wherein each element in each abstraction level may be independently rated for preference by a user. Through comparison of multiple abstraction models and one or more user rating preferences, one or more alternative literary works may be automatically recommended to the user.Type: GrantFiled: November 18, 2016Date of Patent: November 13, 2018Assignee: International Business Machines CorporationInventors: Corville Orain Allen, Scott Robert Carrier, Eric Woods
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Patent number: 10073835Abstract: Automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature is accomplished by employing natural language processing and deep semantic analysis of text to create annotations for the literary elements found in a segment or in the entirety of the literature, a weight to each literary element and its associated annotations, wherein the weight indicates an importance or relevance of a literary element to at least the segment of the work of literature; correlating and matching the literary elements to each other to establish one or more interrelationships; and producing an overall weight for the correlated matches.Type: GrantFiled: December 3, 2013Date of Patent: September 11, 2018Assignee: International Business Machines CorporationInventors: Corville Orain Allen, Scott Robert Carrier, Eric Woods
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Patent number: 10073836Abstract: Automatic semantic analysis for characterizing and correlating literary elements within a digital work of literature is accomplished by employing natural language processing and deep semantic analysis of text to create annotations for the literary elements found in a segment or in the entirety of the literature, a weight to each literary element and its associated annotations, wherein the weight indicates an importance or relevance of a literary element to at least the segment of the work of literature; correlating and matching the literary elements to each other to establish one or more interrelationships; and producing an overall weight for the correlated matches.Type: GrantFiled: September 18, 2014Date of Patent: September 11, 2018Assignee: International Business Machines CorporationInventors: Corville Orain Allen, Scott Robert Carrier, Eric Woods
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Publication number: 20170277777Abstract: A semantic search engine is enhanced to employ user preferences to customize answer output by, for a first user, extracting user preferences and sentiment levels associated with a first question; receiving candidate answer results of a semantic search of the first question; weighting the candidate answer results according to the sentiment levels for each of the user preferences; and producing the selected candidate answers to the first user. Optionally, user preferences and sentiment levels may be accumulated over different questions for the same user, or over different users for similar questions. And, supplemental information may be retrieved relative to a user preference in order to further tune the weighting per the preferences and sentiment levels.Type: ApplicationFiled: June 13, 2017Publication date: September 28, 2017Inventors: Corville O. Allen, Scott Robert Carrier, Scott N. Gerard, Sterling Richardson Smith, David Blake Styles, Eric Woods
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Patent number: 9710548Abstract: A semantic search engine is enhanced to employ user preferences to customize answer output by, for a first user, extracting user preferences and sentiment levels associated with a first question; receiving candidate answer results of a semantic search of the first question; weighting the candidate answer results according to the sentiment levels for each of the user preferences; and producing the selected candidate answers to the first user. Optionally, user preferences and sentiment levels may be accumulated over different questions for the same user, or over different users for similar questions. And, supplemental information may be retrieved relative to a user preference in order to further tune the weighting per the preferences and sentiment levels.Type: GrantFiled: August 23, 2016Date of Patent: July 18, 2017Assignee: International Business Machines CorporationInventors: Corville O. Allen, Scott Robert Carrier, Scott N. Gerard, Sterling Richardson Smith, David Blake Styles, Eric Woods
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Publication number: 20170068660Abstract: Deep semantic analysis is performed on an electronic literary work in order to detect plot elements and optional other storyline elements such as characters within the work. Multiple levels of abstract are generated into a model representing the literary work, wherein each element in each abstraction level may be independently rated for preference by a user. Through comparison of multiple abstraction models and one or more user rating preferences, one or more alternative literary works may be automatically recommended to the user.Type: ApplicationFiled: November 18, 2016Publication date: March 9, 2017Inventors: Corville Orain Allen, Scott Robert Carrier, Eric Woods
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Patent number: 9552344Abstract: A visualization of literary elements of a work of literature, such as a novel or short story, is generated from meta-data records representing a digital work of literature including literary elements (humor, drama, adventure, etc.), characters, and plot devices related to a position within the work of literature where each appears. A significance level is determined for each of the elements, characters and plot devices at each position within the work of literature, and these are plotted into a sequential graph having position (e.g. timeline) axis and a significance level axis. The sequential graph is then output for printing or display. Human-generated and machine-generated meta-data may be ingested equally well by the method. Colors, line thickness, and a broken line patterns may be employed for greater visual meaning. And, the sequential graph may be annotated according to segments (e.g. chapters, sections) and dominant genre within each segment.Type: GrantFiled: December 3, 2013Date of Patent: January 24, 2017Assignee: International Business Machines CorporationInventors: Corville O. Allen, Scott Robert Carrier, Eric Woods