Patents by Inventor Mark G. Megerian

Mark G. Megerian 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).

  • ANSWER CATEGORY DATA CLASSIFYING USING DYNAMIC THRESHOLDS
    Publication number: 20160124963
    Abstract: Managing confidence data in a question-answering environment is disclosed. Managing confidence data can include sorting, based on a set of answer categories for a subject matter, a first set of a plurality of answers into a first answer category. The first set can correspond to at least one of a third set of a plurality of confidence scores and the second set can correspond to at least one of a fourth set of the plurality of confidence scores. Managing confidence data can include classifying confidence scores of the third set into one of a plurality of confidence buckets using a first threshold and determining a fifth set of a plurality of thresholds using the plurality of confidence scores. Managing confidence data can include classifying unclassified confidence scores of the third set into one of the plurality of confidence buckets using the fifth set of the plurality of thresholds.
    Type: Application
    Filed: December 15, 2014
    Publication date: May 5, 2016
    Inventors: Kevin S. Barker, Roberto DeLima, Thomas J. Eggebraaten, Mark G. Megerian, Marie L. Setnes
  • ANSWER CATEGORY DATA CLASSIFYING USING DYNAMIC THRESHOLDS
    Publication number: 20160125064
    Abstract: Managing confidence data in a question-answering environment is disclosed. Managing confidence data can include sorting, based on a set of answer categories for a subject matter, a first set of a plurality of answers into a first answer category. The first set can correspond to at least one of a third set of a plurality of confidence scores and the second set can correspond to at least one of a fourth set of the plurality of confidence scores. Managing confidence data can include classifying confidence scores of the third set into one of a plurality of confidence buckets using a first threshold and determining a fifth set of a plurality of thresholds using the plurality of confidence scores. Managing confidence data can include classifying unclassified confidence scores of the third set into one of the plurality of confidence buckets using the fifth set of the plurality of thresholds.
    Type: Application
    Filed: May 11, 2015
    Publication date: May 5, 2016
    Inventors: Kevin S. Barker, Roberto DeLima, Thomas J. Eggebraaten, Mark G. Megerian, Marie L. Setnes
  • ANSWER SEQUENCE DISCOVERY AND GENERATION
    Publication number: 20160125437
    Abstract: Aspects of the present disclosure are directed toward discovering and generating answer sequences. Aspects are directed toward parsing, by a natural language processing technique configured to analyze syntactic and semantic content, a corpus of data for a subject matter. Aspects are also directed toward detecting a first set of answers including a first answer corresponding to a first answer category and a second set of answers including a second answer corresponding to a second answer category. Both the first and the second answer categories may relate to the subject matter. Aspects are also directed toward identifying a first set of ordering data for the first set of answers and the second set of answers. Aspects are also directed toward determining a first answer sequence corresponding to an order of the first set of answers and the second set of answers.
    Type: Application
    Filed: December 15, 2014
    Publication date: May 5, 2016
    Inventors: Kevin S. Barker, Thomas J. Eggebraaten, Mark G. Megerian, John E. Petri
  • ANSWER INTERACTIONS IN A QUESTION-ANSWERING ENVIRONMENT
    Publication number: 20160125075
    Abstract: In a question-answering (QA) environment, a first answer sequence is identified. As identified, the first answer sequence includes a first answer and a second answer. A corpus is analyzed using the first answer and the second answer. Based on the analysis, a set of influence factors corresponding to both the first answer and the second answer are identified. A first answer relationship between the first answer and the second answer is then generated based on the set of influence factors.
    Type: Application
    Filed: May 11, 2015
    Publication date: May 5, 2016
    Inventors: Thomas J. Eggebraaten, Mark G. Megerian, John E. Petri
  • ANSWER MANAGEMENT IN A QUESTION-ANSWERING ENVIRONMENT
    Publication number: 20160125063
    Abstract: Managing answers in a question-answering environment is disclosed. Managing answers in the question-answering environment can include sorting, based on a set of answer categories for a subject matter, a first set of answers into a first answer category and a second set of answers into a second answer category. Managing answers in the question-answering environment can include determining, using the subject matter, a first category sequence including the first answer category and the second answer category, and establishing, based on the first category sequence, a first answer sequence established from a portion of the first set of answers from the first answer category and a portion of the second set of answers from the second answer category.
    Type: Application
    Filed: May 11, 2015
    Publication date: May 5, 2016
    Inventors: Kevin S. Barker, Thomas J. Eggebraaten, Mark G. Megerian, John E. Petri, Michael D. Pfeifer
  • ANSWER SEQUENCE EVALUATION
    Publication number: 20160125750
    Abstract: Aspects of the present disclosure are directed toward evaluating an answer sequence. Aspects are directed toward receiving a set of answer sequences including a first answer sequence. The first answer sequence may have a first set of answers. Aspects are also directed toward identifying a set of scores coupled with the first set of answers. Aspects are also directed toward determining, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules. Aspects are also directed toward generating, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence.
    Type: Application
    Filed: May 11, 2015
    Publication date: May 5, 2016
    Inventors: Kevin S. Barker, Thomas J. Eggebraaten, Mark G. Megerian
  • ANSWER SEQUENCE EVALUATION
    Publication number: 20160125298
    Abstract: Aspects of the present disclosure are directed toward evaluating an answer sequence. Aspects are directed toward receiving a set of answer sequences including a first answer sequence. The first answer sequence may have a first set of answers. Aspects are also directed toward identifying a set of scores coupled with the first set of answers. Aspects are also directed toward determining, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules. Aspects are also directed toward generating, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence.
    Type: Application
    Filed: December 15, 2014
    Publication date: May 5, 2016
    Inventors: Kevin S. Barker, Thomas J. Eggebraaten, Mark G. Megerian
  • ANSWER INTERACTIONS IN A QUESTION-ANSWERING ENVIRONMENT
    Publication number: 20160125291
    Abstract: In a question-answering (QA) environment, a first answer sequence is identified. As identified, the first answer sequence includes a first answer and a second answer. A corpus is analyzed using the first answer and the second answer. Based on the analysis, a set of influence factors corresponding to both the first answer and the second answer are identified. A first answer relationship between the first answer and the second answer is then generated based on the set of influence factors.
    Type: Application
    Filed: December 15, 2014
    Publication date: May 5, 2016
    Inventors: Thomas J. Eggebraaten, Mark G. Megerian, John E. Petri
  • ANSWER SEQUENCE DISCOVERY AND GENERATION
    Publication number: 20160124951
    Abstract: Aspects of the present disclosure are directed toward discovering and generating answer sequences. Aspects are directed toward parsing, by a natural language processing technique configured to analyze syntactic and semantic content, a corpus of data for a subject matter. Aspects are also directed toward detecting a first set of answers including a first answer corresponding to a first answer category and a second set of answers including a second answer corresponding to a second answer category. Both the first and the second answer categories may relate to the subject matter. Aspects are also directed toward identifying a first set of ordering data for the first set of answers and the second set of answers. Aspects are also directed toward determining a first answer sequence corresponding to an order of the first set of answers and the second set of answers.
    Type: Application
    Filed: March 20, 2015
    Publication date: May 5, 2016
    Inventors: Kevin S. Barker, Thomas J. Eggebraaten, Mark G. Megerian, John E. Petri
  • Validating a cabling topology in a distributed computing system
    Patent number: 9330230
    Abstract: Validating a cabling topology in a distributed computing system comprised of cabled nodes connected using data communications cables, each cabled node characterized by cabling dimensions, each cable corresponding to one of the cabling dimensions, includes: receiving a selection from a user of at least one cabled node for topology validation; identifying, for each cabling dimension for each selected cabled node, a shortest cabling path; determining, for each cabling dimension, whether the number of cabled nodes in the shortest cabling path for each selected cabled node match; and if, for each cabling dimension, the number of cabled nodes in the shortest cabling path for each selected cabled node match: selecting, for each cabling dimension, the number of cabled nodes in the shortest cabling path as a representative value for the cabling dimension, calculating a product of the representative values, and determining whether the product equals the number of selected cabled nodes.
    Type: Grant
    Filed: April 19, 2007
    Date of Patent: May 3, 2016
    Assignee: International Business Machines Corporation
    Inventors: Charles J. Archer, Mark G. Megerian
  • Using natural language processing (NLP) to create subject matter synonyms from definitions
    Patent number: 9311300
    Abstract: Methods, apparatus and systems, including computer program products, for creating subject matter synonyms from definitions extracted from a subject matter glossary. Confidence scores, each representing a likelihood that two terms defined in the subject matter glossary are synonyms, are determined by applying natural language processing (e.g., passage term matching, lexical matching, and syntactic matching) to the extracted definitions. A subject matter thesaurus is built based on the confidence scores. In one embodiment, a statement containing a first term is created based on an extracted definition of the first term, a modified statement is created by substituting a second term in the statement in lieu of the first term, a corpus is searched, and a confidence score is determined based on evidence in the corpus that the modified statement is accurate. The first and second terms are marked as synonyms if the confidence score is greater than a threshold.
    Type: Grant
    Filed: September 13, 2013
    Date of Patent: April 12, 2016
    Assignee: International Business Machines Corporation
    Inventors: Scott N. Gerard, Mark G. Megerian
  • Using Toxicity Level in Treatment Recommendations by Question Answering Systems
    Publication number: 20160078182
    Abstract: Mechanisms are provided for outputting a treatment recommendation for a medical malady. The mechanisms receive an input specifying a medical malady of a specified patient and determine one or more constituent agents of a potential treatment for the specified medical malady of the specified patient. The mechanisms retrieve a treatment toxicity profile corresponding to the medical malady. In addition, the mechanisms calculate a treatment toxicity score for the potential treatment based on a comparison of patient medical attributes of the specified patient to toxicity criteria associated with the one or more constituent agents identified in the treatment toxicity profile. The mechanisms then output a treatment recommendation based on the treatment toxicity score.
    Type: Application
    Filed: September 16, 2014
    Publication date: March 17, 2016
    Inventors: Corville O. Allen, Roberto DeLima, Thomas J. Eggebraaten, Andrew R. Freed, Mark G. Megerian, Marie L. Setnes
  • MULTI-PETASCALE HIGHLY EFFICIENT PARALLEL SUPERCOMPUTER
    Publication number: 20160011996
    Abstract: A Multi-Petascale Highly Efficient Parallel Supercomputer of 100 petaflop-scale includes node architectures based upon System-On-a-Chip technology, where each processing node comprises a single Application Specific Integrated Circuit (ASIC). The ASIC nodes are interconnected by a five dimensional torus network that optimally maximize the throughput of packet communications between nodes and minimize latency. The network implements collective network and a global asynchronous network that provides global barrier and notification functions. Integrated in the node design include a list-based prefetcher. The memory system implements transaction memory, thread level speculation, and multiversioning cache that improves soft error rate at the same time and supports DMA functionality allowing for parallel processing message-passing.
    Type: Application
    Filed: April 30, 2015
    Publication date: January 14, 2016
    Inventors: Sameh Asaad, Ralph E. Bellofatto, Michael A. Blocksome, Matthias A. Blumrich, Peter Boyle, Jose R. Brunheroto, Dong Chen, Chen-Yong Cher, George L. Chiu, Norman Christ, Paul W. Coteus, Kristan D. Davis, Gabor J. Dozsa, Alexandre E. Eichenberger, Noel A. Eisley, Matthew R. Ellavsky, Kahn C. Evans, Bruce M. Fleischer, Thomas W. Fox, Alan Gara, Mark E. Giampapa, Thomas M. Gooding, Michael K. Gschwind, John A. Gunnels, Shawn A. Hall, Rudolf A. Haring, Philip Heidelberger, Todd A. Inglett, Brant L. Knudson, Gerard V. Kopcsay, Sameer Kumar, Amith R. Mamidala, James A. Marcella, Mark G. Megerian, Douglas R. Miller, Samuel J. Miller, Adam J. Muff, Michael B. Mundy, John K. O'Brien, Kathryn M. O'Brien, Martin Ohmacht, Jeffrey J. Parker, Ruth J. Poole, Joseph D. Ratterman, Valentina Salapura, David L. Satterfield, Robert M. Senger, Burkhard Steinmacher-Burow, William M. Stockdell, Craig B. Stunkel, Krishnan Sugavanam, Yutaka Sugawara, Todd E. Takken, Barry M. Trager, James L. Van Oosten, Charles D. Wait, Robert E. Walkup, Alfred T. Watson, Robert W. Wisniewski, Peng Wu
  • Partial and parallel pipeline processing in a deep question answering system
    Patent number: 9158773
    Abstract: System, method, and computer program product to reduce an amount of processing required to generate a response to a first case by a deep question answering system, by, determining that a similarity score, of the first case relative to a second case, exceeds a similarity threshold, identifying a first feature of the second case having a first relevance score exceeding a relevance threshold, identifying a first candidate answer for the first case that does not have the first feature, and refraining from analyzing the first candidate answer in generating the response to the first case, thereby reducing the amount of processing of the deep question answering system.
    Type: Grant
    Filed: March 11, 2013
    Date of Patent: October 13, 2015
    Assignee: International Business Machines Corporation
    Inventors: Adam T. Clark, Mark G. Megerian, John E. Petri, Richard J. Stevens
  • Partial and parallel pipeline processing in a deep question answering system
    Patent number: 9158772
    Abstract: System, method, and computer program product to reduce an amount of processing required to generate a response to a first case by a deep question answering system, by, determining that a similarity score, of the first case relative to a second case, exceeds a similarity threshold, identifying a first feature of the second case having a first relevance score exceeding a relevance threshold, identifying a first candidate answer for the first case that does not have the first feature, and refraining from analyzing the first candidate answer in generating the response to the first case, thereby reducing the amount of processing of the deep question answering system.
    Type: Grant
    Filed: December 17, 2012
    Date of Patent: October 13, 2015
    Assignee: International Business Machines Corporation
    Inventors: Adam T. Clark, Mark G. Megerian, John E. Petri, Richard J. Stevens
  • Intelligent evidence classification and notification in a deep question answering system
    Patent number: 9141660
    Abstract: System, method, and computer program product to identify changes in evidence used to answer questions by a deep question answering system, by identifying a first evidence related to a feature, the deep question answering system having identified the feature as being relevant to answering a first type of question of a plurality of types of questions, and responsive to: (i) detecting a change in the first evidence, and (ii) determining that a confidence score of a first response generated for a first question, of the first type of question, exceeds a confidence threshold, generating an updated response for the first question based on the changed first evidence.
    Type: Grant
    Filed: December 17, 2012
    Date of Patent: September 22, 2015
    Assignee: International Business Machines Corporation
    Inventors: Adam T. Clark, Mark G. Megerian, John E. Petri, Richard J. Stevens
  • Intelligent evidence classification and notification in a deep question answering system
    Patent number: 9141662
    Abstract: System, method, and computer program product to identify changes in evidence used to answer questions by a deep question answering system, by identifying a first evidence related to a feature, the deep question answering system having identified the feature as being relevant to answering a first type of question of a plurality of types of questions, and responsive to: (i) detecting a change in the first evidence, and (ii) determining that a confidence score of a first response generated for a first question, of the first type of question, exceeds a confidence threshold, generating an updated response for the first question based on the changed first evidence.
    Type: Grant
    Filed: March 11, 2013
    Date of Patent: September 22, 2015
    Assignee: International Business Machines Corporation
    Inventors: Adam T. Clark, Mark G. Megerian, John E. Petri, Richard J. Stevens
  • Corpus search improvements using term normalization
    Patent number: 9092512
    Abstract: System and computer program product to perform an operation for query processing based on normalized search terms. The operation begins by, responsive to receiving a query, generating a normalized search term for a concept in the query based on a first language model, of a plurality of language models each having a predefined association with a respective concept. The operation then modifies the query to include the normalized search term, and executes the modified query against an indexed corpus of evidence including a first item of evidence. The operation then, upon determining that the first item of evidence includes the normalized search term, returns the first item of evidence as responsive to the query.
    Type: Grant
    Filed: February 14, 2013
    Date of Patent: July 28, 2015
    Assignee: International Business Machines Corporation
    Inventors: Joel C. Dubbels, Mark G. Megerian, Michael W. Schroeder, Frances E. Stewart
  • Corpus search improvements using term normalization
    Patent number: 9087122
    Abstract: System and computer program product to perform an operation for query processing based on normalized search terms. The operation begins by, responsive to receiving a query, generating a normalized search term for a concept in the query based on a first language model, of a plurality of language models each having a predefined association with a respective concept. The operation then modifies the query to include the normalized search term, and executes the modified query against an indexed corpus of evidence including a first item of evidence. The operation then, upon determining that the first item of evidence includes the normalized search term, returns the first item of evidence as responsive to the query.
    Type: Grant
    Filed: December 17, 2012
    Date of Patent: July 21, 2015
    Assignee: International Business Machines Corporation
    Inventors: Joel C. Dubbels, Mark G. Megerian, Michael W. Schroeder, Frances E. Stewart
  • Multi-petascale highly efficient parallel supercomputer
    Patent number: 9081501
    Abstract: A Multi-Petascale Highly Efficient Parallel Supercomputer of 100 petaOPS-scale computing, at decreased cost, power and footprint, and that allows for a maximum packaging density of processing nodes from an interconnect point of view. The Supercomputer exploits technological advances in VLSI that enables a computing model where many processors can be integrated into a single Application Specific Integrated Circuit (ASIC).
    Type: Grant
    Filed: January 10, 2011
    Date of Patent: July 14, 2015
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Sameh Asaad, Ralph E. Bellofatto, Michael A. Blocksome, Matthias A. Blumrich, Peter Boyle, Jose R. Brunheroto, Dong Chen, Chen-Yong Cher, George L. Chiu, Norman Christ, Paul W. Coteus, Kristan D. Davis, Gabor J. Dozsa, Alexandre E. Eichenberger, Noel A. Eisley, Matthew R. Ellavsky, Kahn C. Evans, Bruce M. Fleischer, Thomas W. Fox, Alan Gara, Mark E. Giampapa, Thomas M. Gooding, Michael K. Gschwind, John A. Gunnels, Shawn A. Hall, Rudolf A. Haring, Philip Heidelberger, Todd A. Inglett, Brant L. Knudson, Gerard V. Kopcsay, Sameer Kumar, Amith R. Mamidala, James A. Marcella, Mark G. Megerian, Douglas R. Miller, Samuel J. Miller, Adam J. Muff, Michael B. Mundy, John K. O'Brien, Kathryn M. O'Brien, Martin Ohmacht, Jeffrey J. Parker, Ruth J. Poole, Joseph D. Ratterman, Valentina Salapura, David L. Satterfield, Robert M. Senger, Brian Smith, Burkhard Steinmacher-Burow, William M. Stockdell, Craig B. Stunkel, Krishnan Sugavanam, Yutaka Sugawara, Todd E. Takken, Barry M. Trager, James L. Van Oosten, Charles D. Wait, Robert E. Walkup, Alfred T. Watson, Robert W. Wisniewski, Peng Wu