Patents by Inventor Andrew J. Lavery

Andrew J. Lavery 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).

  • Publication number: 20210056302
    Abstract: A computer-implemented method, system and computer program product for understanding information using a document analysis technique. An initial corpus of information is formed by identifying a document(s) that match a search criteria. The initial corpus of information is expanded with a set of documents containing statements with a semantic meaning within a threshold degree of similarity to a semantic meaning of statements contained within the document(s) used to form the initial corpus of information. Viewpoint(s) are then extracted from the expanded corpus of information using a natural language processing technique. A new set of documents is analyzed by identifying the subject, assertion and context statements. Assertions in the new set of documents that are within a threshold degree of agreement or disagreement with the extracted viewpoint are highlighted to assist the user in understanding how information aligns with a viewpoint.
    Type: Application
    Filed: August 20, 2019
    Publication date: February 25, 2021
    Inventors: Andrew J. Lavery, Fernando Jose Suarez Saiz, Richard J. Stevens, Eric L. Erpenbach
  • Patent number: 10915562
    Abstract: Unstructured data are processed in response to a request for information to derive attributes. The attributes include a subset of variables utilized to determine the requested information. The attributes are ranked based on a set of relevance factors for determining the requested information. One or more attributes are selected for presentation to a user based on the ranking to receive modifications and produce modified attributes. The requested information is determined based on the set of variables including the modified attributes.
    Type: Grant
    Filed: January 18, 2017
    Date of Patent: February 9, 2021
    Assignee: International Business Machines Corporation
    Inventors: Eric L. Erpenbach, Andrew J. Lavery, Richard J. Stevens, Fernando J. Suarez Saiz
  • Publication number: 20200376343
    Abstract: A system assists a user to traverse a structure. A safety device includes a sensor assembly to detect positions of a user along a travel path for a structure, wherein the travel path includes a plurality of attachment points to secure the user to the structure via one or more lines, a motion assembly to move the safety device along the travel path based on the detected positions of the user, wherein the motion assembly maintains a threshold distance from the user, and a coupling mechanism to couple the one or more lines to one or more of the attachment points encountered along the travel path. Embodiments of the present invention further include a method and program product for assisting a user to traverse a structure in substantially the same manner described above.
    Type: Application
    Filed: May 28, 2019
    Publication date: December 3, 2020
    Inventors: Marc Dickenson, Igor S. Ramos, Andrew J. Lavery
  • Patent number: 10749825
    Abstract: Content of an email message may be analyzed, using natural language processing (NLP), to determine a subject matter of the email message. A cost estimate may be generated for sending the email message based on at least the subject matter of the email message. The cost estimate may be compared to a cost threshold. The cost estimate may be determined to exceed the cost threshold, based on the comparing.
    Type: Grant
    Filed: April 29, 2015
    Date of Patent: August 18, 2020
    Assignee: International Business Machines Corporation
    Inventors: Nnaemeka I. Emejulu, Andrew J. Lavery, Mario A. Maldari, Karthikeyan Ramamoorthy
  • Publication number: 20200258510
    Abstract: A method, a system, and a computer program product are provided. Speech signals from a medical conversation between a medical provider and a patient are converted to text based on a first domain model associated with a medical scenario. The first domain model is selected from multiple domain models associated with a workflow of the medical provider. One or more triggers are detected, each of which indicates a respective change in the medical scenario. A corresponding second domain model is applied to the medical conversation to more accurately convert the speech signals to text in response to each of the detected one or more triggers. The corresponding second domain model is associated with a respective change in the medical scenario of the workflow of the medical provider. A clinical note is provided based on the text produced by converting the speech signals.
    Type: Application
    Filed: February 7, 2019
    Publication date: August 13, 2020
    Inventors: Andrew J. Lavery, Kenney Ng, Michael Picheny, Paul C. Tang
  • Patent number: 10726844
    Abstract: A method, computer system, and a computer program product for optimizing speech recognition in a smart medical room. The present invention may include selecting, from a database, one or more speech domain models based on a plurality of signals from a plurality of biometric sensors associated with a plurality of medical equipment, wherein the one or more speech domain models are trained with one or more feedback from a clinician based on a medical encounter and from a continuous feedback display in the smart medical room, wherein the one or more feedback from the clinician is based on an optional notification to the clinician to confirm the one or more speech models in use.
    Type: Grant
    Filed: September 9, 2019
    Date of Patent: July 28, 2020
    Assignee: International Business Machines Corporation
    Inventors: Andrew J. Lavery, Kenney Ng, Michael A. Picheny, Paul C. Tang
  • Publication number: 20200218754
    Abstract: Partial-image search criteria are derived that include a combination of multiple partial-image user selections of portions of at least one image. Visual search results are returned responsive to a search for images that correspond to the derived partial-image search criteria. The visual search results include at least one identified image that includes features that correspond to the derived partial-image search criteria that include the combination of the multiple partial-image user selections.
    Type: Application
    Filed: March 19, 2020
    Publication date: July 9, 2020
    Applicant: Wayfair LLC
    Inventors: Kimberly H. Cady, Scott B. Greer, Andrew J. Lavery, Sarah R. Plantenberg
  • Publication number: 20200105271
    Abstract: A method, computer system, and a computer program product for optimizing speech recognition in a smart medical room. The present invention may include selecting, from a database, one or more speech domain models based on a plurality of signals from a plurality of biometric sensors associated with a plurality of medical equipment, wherein the one or more speech domain models are trained with one or more feedback from a clinician based on a medical encounter and from a continuous feedback display in the smart medical room, wherein the one or more feedback from the clinician is based on an optional notification to the clinician to confirm the one or more speech models in use.
    Type: Application
    Filed: September 9, 2019
    Publication date: April 2, 2020
    Inventors: Andrew J. Lavery, Kenney Ng, Michael A. Picheny, Paul C. Tang
  • Patent number: 10599708
    Abstract: Partial-image search criteria are derived that include a combination of multiple partial-image user selections of portions of at least one image. Visual search results are returned responsive to a search for images that correspond to the derived partial-image search criteria. The visual search results include at least one identified image that includes features that correspond to the derived partial-image search criteria that include the combination of the multiple partial-image user selections.
    Type: Grant
    Filed: July 28, 2017
    Date of Patent: March 24, 2020
    Assignee: Wayfair LLC
    Inventors: Kimberly H. Cady, Scott B. Greer, Andrew J. Lavery, Sarah R. Plantenberg
  • Patent number: 10592502
    Abstract: Natural language processing includes processing unstructured data in response to a request for a conclusion to a line of inquiry to produce structured information that conforms to a computer readable information schema. Values obtained from the unstructured data are assigned to attributes of the structured information and determining a candidate conclusion to the line of inquiry based on the value-assigned attributes. A confidence score is computed that is indicative of a sufficiency of the candidate conclusion as the conclusion to the line of inquiry. One or more of the attributes are displayed to a user for modification responsive to the confidence score of the corresponding conclusion failing to meet a confidence criterion. The displayed attributes are ranked by relevance of the attribute to the corresponding conclusion. The conclusion to the line of inquiry is determined based on the modified values of the user-selected attributes.
    Type: Grant
    Filed: October 25, 2016
    Date of Patent: March 17, 2020
    Assignee: International Business Machines Corporation
    Inventors: Eric L. Erpenbach, Andrew J. Lavery, Richard J. Stevens, Fernando J. Suarez Saiz
  • Publication number: 20200035359
    Abstract: According to embodiments of the present invention, medical treatment outcomes are simulated. A system receives a request to determine a medical treatment pertaining to a medical condition of a patient. The request is applied to one or more models, via a processor, to simulate outcomes for a plurality of different medical treatments for the medical condition, wherein the one or more models account for impacts of the plurality of different medical treatments on use of medical treatments awaiting future approval. The medical treatment is determined from the simulated outcomes, via a processor, with a desired level of impact on the medical treatments awaiting future approval based on characteristics of the patient. Methods and computer readable media are also provided herein for simulating medical treatment outcomes.
    Type: Application
    Filed: July 27, 2018
    Publication date: January 30, 2020
    Inventors: Eric L. Erpenbach, Lakshminarayanan Krishnamurthy, Andrew J. Lavery, Richard J. Stevens, Fernando Jose Suarez Saiz
  • Patent number: 10510348
    Abstract: A method, computer system, and a computer program product for optimizing speech recognition in a smart medical room. The present invention may include receiving a piece of verbal data associated with a medical encounter from one or more audio recording devices. The present invention may also include accessing a plurality of signals from a plurality of biometric sensors associated with a plurality of medical equipment associated with the smart medical room based on the received piece of verbal data associated with the medical encounter. The present invention may further include selecting, from a database, one or more speech domain models based on the accessed plurality of signals from the plurality of biometric sensors associated with the plurality of medical equipment, wherein the one or more speech domain models are utilized to optimize a transcription of speech during the medical encounter in the smart medical room.
    Type: Grant
    Filed: September 28, 2018
    Date of Patent: December 17, 2019
    Assignee: International Business Machines Corporation
    Inventors: Andrew J. Lavery, Kenney Ng, Michael A. Picheny, Paul C. Tang
  • Patent number: 10467032
    Abstract: A mechanism is provided for use with a set of images including a first image, with each image of the set of images respectively representing a computer and respectively including software and configuration settings data. The mechanism deploys a plurality of first image instantiations of the first image for respective use by a plurality of users. The mechanism tracks use of the plurality of first image instantiations to create a historical usage data set indicative of how the plurality of users are customizing the plurality of first image instantiations.
    Type: Grant
    Filed: March 2, 2017
    Date of Patent: November 5, 2019
    Assignee: International Business Machines Corporation
    Inventors: Nnaemeka I. Emejulu, Andrew J. Lavery, Mario A. Maldari, Karthikeyan Ramamoorthy
  • Publication number: 20190286968
    Abstract: A method, computer system, and a computer program product for a dynamic question and answer (QA) process is provided. The present invention may include receiving an input by a user. The present invention may also include analyzing a user expertise level and an amount of experience based on the received input. The present invention may then include adjusting an expert recommendation to align with the analyzed user expertise level and the amount of experience based on the analyzed user expertise. The present invention may further include providing a plurality of feedback based on the adjusted expert recommendation.
    Type: Application
    Filed: March 16, 2018
    Publication date: September 19, 2019
    Inventors: Eric L. Erpenbach, Andrew J. Lavery, Richard J. Stevens, Fernando Jose Suarez Saiz
  • Publication number: 20190266186
    Abstract: Provided are a computer program product, system, and method for determining user interactions with natural language processor (NLP) items in documents to determine priorities to present NLP items in documents to review. Information is received on user interactions with natural language processing (NLP) items in documents presented at least one computing device. Indication is made in a database of user interaction information on the user interactions with the NLP items indicated in the received transmitted information. The user interaction information in the database providing interaction information for NLP items in the selected document is used to determine an order of the NLP items in the selected document. Content of the NLP items in the selected document is transmitted to present to a reviewing user at a reviewing computing device in the determined order.
    Type: Application
    Filed: May 8, 2019
    Publication date: August 29, 2019
    Inventors: Eric L. Erpenbach, Andrew J. Lavery, Richard J. Stevens, Fernando J. Suarez Saiz
  • Publication number: 20190266181
    Abstract: Provided are a computer program product, system, and method for providing information on detected user interactions with natural language processor (NLP) items to a server to use to determine an order in which to render NLP items in a user interface. Interactions with natural language processing (NLP) items in documents are detected. For each interaction with an NLP item of the NLP items in the documents, determination is made of a context attribute value for a context attribute related to the interaction with the NLP item. Then interaction information is generated indicating the NLP item and the determined context attribute value. The interaction information is sent to the server to include in user interaction information in a database.
    Type: Application
    Filed: May 8, 2019
    Publication date: August 29, 2019
    Inventors: Eric L. Erpenbach, Andrew J. Lavery, Richard J. Stevens, Fernando J. Suarez Saiz
  • Publication number: 20190243825
    Abstract: Natural language processing includes processing unstructured data in response to a request for a conclusion to a line of inquiry to produce structured information that conforms to a computer readable information schema. Values obtained from the unstructured data are assigned to attributes of the structured information and determining a candidate conclusion to the line of inquiry based on the value-assigned attributes. A confidence score is computed that is indicative of a sufficiency of the candidate conclusion as the conclusion to the line of inquiry. One or more of the attributes are displayed to a user for modification responsive to the confidence score of the corresponding conclusion failing to meet a confidence criterion. The displayed attributes are ranked by relevance of the attribute to the corresponding conclusion. The conclusion to the line of inquiry is determined based on the modified values of the user-selected attributes.
    Type: Application
    Filed: April 22, 2019
    Publication date: August 8, 2019
    Inventors: Eric L. Erpenbach, Andrew J. Lavery, Richard J. Stevens, Fernando J. Suarez Saiz
  • Publication number: 20190147102
    Abstract: Provided are a computer program product, system, and method for providing information on detected user interactions with natural language processor (NLP) items to a server to use to determine an order in which to render NLP items in a user interface. Interactions with natural language processing (NLP) items in documents are detected. For each interaction with an NLP item of the NLP items in the documents, determination is made of a context attribute value for a context attribute related to the interaction with the NLP item. Then interaction information is generated indicating the NLP item and the determined context attribute value. The interaction information is sent to the server to include in user interaction information in a database.
    Type: Application
    Filed: November 13, 2017
    Publication date: May 16, 2019
    Inventors: Eric L. Erpenbach, Andrew J. Lavery, Richard J. Stevens, Fernando J. Suarez Saiz
  • Publication number: 20190147055
    Abstract: Provided are a computer program product, system, and method for determining user interactions with natural language processor (NLP) items in documents to determine priorities to present NLP items in documents to review. Information is received on user interactions with natural language processing (NLP) items in documents presented at least one computing device. Indication is made in a database of user interaction information on the user interactions with the NLP items indicated in the received transmitted information. The user interaction information in the database providing interaction information for NLP items in the selected document is used to determine an order of the NLP items in the selected document. Content of the NLP items in the selected document is transmitted to present to a reviewing user at a reviewing computing device in the determined order.
    Type: Application
    Filed: November 13, 2017
    Publication date: May 16, 2019
    Inventors: Eric L. Erpenbach, Andrew J. Lavery, Richard J. Stevens, Fernando J. Suarez Saiz
  • Patent number: 10171936
    Abstract: A device comprises an input component configured to receive an event identification request from a provider. The event identification request comprises one or more requirements usable to identify an actionable event for resolution. The requirements specify a geographical boundary and one or more goods. The device also comprises a processor communicably coupled to the input component. The processor is adapted to transmit the event identification request to a repository configured to match the event identification request with one or more actionable events based on the one or more requirements.
    Type: Grant
    Filed: September 23, 2016
    Date of Patent: January 1, 2019
    Assignee: International Business Machines Corporation
    Inventors: Joshua S. Allen, Andrew J. Lavery, Mario A. Maldari