Patents by Inventor Charles A. Jochim
Charles A. Jochim 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: 11429791Abstract: An application automatically composed using natural language processing. A natural language input comprising one or more application requirements is received via an interface. The natural language input is parsed to extract one or more chunks, each chunk representing one of the application requirements, and at least one of the chunks representing at least one of one or more main functionalities described by the application requirements. A coarse architecture logically arranging the main functionalities to satisfy the application requirements is inferred according to the chunks. Existing assets corresponding to the chunks are identified, each asset associated with at least one of the main functionalities. The identified assets are assembled according to the coarse architecture. The assembled assets are deployed as an application.Type: GrantFiled: October 9, 2019Date of Patent: August 30, 2022Assignee: International Business Machines CorporationInventors: Alice-Maria Marascu, Charles A. Jochim, Carlos A. Alzate Perez, Radu Marinescu, John E. Wittern
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Patent number: 11055488Abstract: A computer system, method, and computer readable product are provided for cognitive initialization of large-scale advection-diffusion models. In various embodiments, parameters are identified for configuring an advection-diffusion model to be run. Then a natural language processing search is conducted for these parameters in relevant literature to find corresponding numerical values. These search results are compared, and values for the parameters are set for the advection-diffusion model, and the model is run.Type: GrantFiled: August 2, 2019Date of Patent: July 6, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Charles A. Jochim, Fearghal ODonncha, Emanuele Ragnoli
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Patent number: 11023681Abstract: Embodiments for co-reference resolution and entity linking from unstructured text data by a processor. Semantic co-references and mentions of one or more entities may be resolved occurring in unstructured text data by linking the one or more entities using a domain knowledge ontology.Type: GrantFiled: September 19, 2018Date of Patent: June 1, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Yassine Lassoued, Lea Deleris, Stephane Deparis, Killian Levacher, Charles A. Jochim, Yufang Hou, Elizabeth Daly
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Patent number: 11003716Abstract: Embodiments for discovery and analysis of interpersonal relationships from a collection of unstructured text data by a processor. A relationship between one or more entities and extracted text data from a plurality of unstructured text data may be identified such that the relationship includes a sentiment of the relationship, a type of relationship, temporal information, or a combination thereof. The one or more entities may be associated with a knowledge graph based on an ontology of concepts representing a domain knowledge. The extracted information and the identified relationship may be automatically aggregated into a multi-graph representation.Type: GrantFiled: January 10, 2017Date of Patent: May 11, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Francesca Bonin, Elizabeth M. Daly, Lea A. Deleris, Stephane Deparis, Yufang Hou, Charles A. Jochim, Yassine Lassoued
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Publication number: 20210073335Abstract: Embodiments for semantic analysis of table content are provided. A document that includes a table portion and a non-table portion is received. A table result within the table portion of the document is identified. Contextual content associated with the table result is extracted from the non-table portion of the document. A data structure is generated for the table result. The data structure includes the table result and the contextual content associated with the table result.Type: ApplicationFiled: September 9, 2019Publication date: March 11, 2021Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Yufang HOU, Charles JOCHIM, Martin GLEIZE, Debasis GANGULY
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Patent number: 10839249Abstract: Embodiments for analyzing images by one or more processors are described. An image is received. An object appearing in the image is detected. A scene graph is generated for the object. At least one transformational matrix is determined for the object. The at least one transformational matrix is associated with rendering the object as the object appears in the image based on the scene graph.Type: GrantFiled: March 8, 2019Date of Patent: November 17, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Thanh Lam Hoang, Beat Buesser, Ngoc Minh Tran, Charles Jochim
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Publication number: 20200285885Abstract: Embodiments for analyzing images by one or more processors are described. An image is received. An object appearing in the image is detected. A scene graph is generated for the object. At least one transformational matrix is determined for the object. The at least one transformational matrix is associated with rendering the object as the object appears in the image based on the scene graph.Type: ApplicationFiled: March 8, 2019Publication date: September 10, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Thanh Lam HOANG, Beat BUESSER, Ngoc Minh TRAN, Charles JOCHIM
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Publication number: 20200089766Abstract: Embodiments for co-reference resolution and entity linking from unstructured text data by a processor. Semantic co-references and mentions of one or more entities may be resolved occurring in unstructured text data by linking the one or more entities using a domain knowledge ontology.Type: ApplicationFiled: September 19, 2018Publication date: March 19, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Yassine LASSOUED, Lea DELERIS, Stephane DEPARIS, Killian LEVACHER, Charles A. JOCHIM, Yufang HOU, Elizabeth DALY
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Publication number: 20200042598Abstract: An application automatically composed using natural language processing. A natural language input comprising one or more application requirements is received via an interface. The natural language input is parsed to extract one or more chunks, each chunk representing one of the application requirements, and at least one of the chunks representing at least one of one or more main functionalities described by the application requirements. A coarse architecture logically arranging the main functionalities to satisfy the application requirements is inferred according to the chunks. Existing assets corresponding to the chunks are identified, each asset associated with at least one of the main functionalities. The identified assets are assembled according to the coarse architecture. The assembled assets are deployed as an application.Type: ApplicationFiled: October 9, 2019Publication date: February 6, 2020Inventors: Alice-Maria Marascu, Charles A. Jochim, Carlos A. Alzate Perez, Radu Marinescu, John E. Wittern
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Patent number: 10552540Abstract: An application automatically composed using natural language processing. A natural language input comprising one or more application requirements is received via an interface. The natural language input is parsed to extract one or more chunks, each chunk representing one of the application requirements, and at least one of the chunks representing at least one of one or more main functionalities described by the application requirements. A coarse architecture logically arranging the main functionalities to satisfy the application requirements is inferred according to the chunks. Existing assets corresponding to the chunks are identified, each asset associated with at least one of the main functionalities. The identified assets are assembled according to the coarse architecture. The assembled assets are deployed as an application.Type: GrantFiled: November 27, 2017Date of Patent: February 4, 2020Assignee: International Business Machines CorporationInventors: Alice-Maria Marascu, Charles A. Jochim, Carlos A. Alzate Perez, Radu Marinescu, John E. Wittern
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Patent number: 10552537Abstract: A computer system, method, and computer readable product are provided for cognitive initialization of large-scale advection-diffusion models. In various embodiments, parameters are identified for configuring an advection-diffusion model to be run. Then a natural language processing search is conducted for these parameters in relevant literature to find corresponding numerical values. These search results are compared, and values for the parameters are set for the advection-diffusion model, and the model is run.Type: GrantFiled: October 28, 2016Date of Patent: February 4, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Charles A. Jochim, Fearghal O'Donncha, Emanuele Ragnoli
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Publication number: 20190354585Abstract: A computer system, method, and computer readable product are provided for cognitive initialization of large-scale advection-diffusion models. In various embodiments, parameters are identified for configuring an advection-diffusion model to be run. Then a natural language processing search is conducted for these parameters in relevant literature to find corresponding numerical values. These search results are compared, and values for the parameters are set for the advection-diffusion model, and the model is run.Type: ApplicationFiled: August 2, 2019Publication date: November 21, 2019Inventors: Charles A. Jochim, Fearghal ODonncha, Emanuele Ragnoli
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Publication number: 20190163739Abstract: An application automatically composed using natural language processing. A natural language input comprising one or more application requirements is received via an interface. The natural language input is parsed to extract one or more chunks, each chunk representing one of the application requirements, and at least one of the chunks representing at least one of one or more main functionalities described by the application requirements. A coarse architecture logically arranging the main functionalities to satisfy the application requirements is inferred according to the chunks. Existing assets corresponding to the chunks are identified, each asset associated with at least one of the main functionalities. The identified assets are assembled according to the coarse architecture. The assembled assets are deployed as an application.Type: ApplicationFiled: November 27, 2017Publication date: May 30, 2019Inventors: Alice-Maria Marascu, Charles A. Jochim, Carlos A. Alzate Perez, Radu Marinescu, John E. Wittern
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Patent number: 10169332Abstract: A distributed computer system includes a distributed processor, a distributed memory, and a simulation engine (SE). The SE includes a simulation I/O coupler that links a first variable of a first simulation model I/O data structure to a second variable of a second simulation model I/O data structure. The SE includes a natural language processing system that extracts a first variable description associated with the first variable, determines similar character strings to the first variable description from an information corpus, and ranks the determined character strings based upon similarity to the first variable description. The SE links the first variable to the second variable if the rank of an equal character string to the second variable description is greater than a rank threshold. The SE may augment the simulation model I/O data structures by writing a value of the first variable to a value of the second variable, or visa versa.Type: GrantFiled: May 16, 2017Date of Patent: January 1, 2019Assignee: International Business Machines CorporationInventors: Charles A. Jochim, Ying Liu, Fearghal O'Donncha, Campbell D. Watson
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Publication number: 20180336180Abstract: A distributed computer system includes a distributed processor, a distributed memory, and a simulation engine (SE). The SE includes a simulation I/O coupler that links a first variable of a first simulation model I/O data structure to a second variable of a second simulation model I/O data structure. The SE includes a natural language processing system that extracts a first variable description associated with the first variable, determines similar character strings to the first variable description from an information corpus, and ranks the determined character strings based upon similarity to the first variable description. The SE links the first variable to the second variable if the rank of an equal character string to the second variable description is greater than a rank threshold. The SE may augment the simulation model I/O data structures by writing a value of the first variable to a value of the second variable, or visa versa.Type: ApplicationFiled: May 16, 2017Publication date: November 22, 2018Inventors: Charles A. Jochim, Ying Liu, Fearghal O'Donncha, Campbell D. Watson
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Publication number: 20180197088Abstract: Embodiments for discovery and analysis of interpersonal relationships from a collection of unstructured text data by a processor. A relationship between one or more entities and extracted text data from a plurality of unstructured text data may be identified such that the relationship includes a sentiment of the relationship, a type of relationship, temporal information, or a combination thereof. The one or more entities may be associated with a knowledge graph based on an ontology of concepts representing a domain knowledge. The extracted information and the identified relationship may be automatically aggregated into a multi-graph representation.Type: ApplicationFiled: January 10, 2017Publication date: July 12, 2018Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Francesca BONIN, Elizabeth M. DALY, Lea A. DELERIS, Stephane DEPARIS, Yufang HOU, Charles A. JOCHIM, Yassine LASSOUED
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Publication number: 20180121389Abstract: A computer system, method, and computer readable product are provided for cognitive initialization of large-scale advection-diffusion models. In various embodiments, parameters are identified for configuring an advection-diffusion model to be run. Then a natural language processing search is conducted for these parameters in relevant literature to find corresponding numerical values. These search results are compared, and values for the parameters are set for the advection-diffusion model, and the model is run.Type: ApplicationFiled: October 28, 2016Publication date: May 3, 2018Inventors: Charles A. Jochim, Fearghal O'Donncha, Emanuele Ragnoli
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Patent number: 9652450Abstract: A method for automatically extracting claim candidates from complex sentences includes providing a parse tree of a text sample to be analyzed, disassembling the parse tree into a set of basic meaning-bearing clauses, assembling clauses of the set of basic clauses into a set of complex coherent statements based on permissible syntactic structures, testing the complex statements and discarding those statements that are not coherent when considered alone, discarding those complex statements that either do not provide additional information about a subject, or are too complex, removing information from a complex statement that provides supportive details about the subject, and discarding statements that restrict their subject, so that the subject cannot be generalized encompass a broader subject.Type: GrantFiled: July 6, 2016Date of Patent: May 16, 2017Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bogdan Sacaleanu, Alice Marascu, Charles Jochim