Patents Examined by Andrew T McIntosh
  • Patent number: 11699030
    Abstract: A detection is made that a user of a platform has provided first question text associated with a question via a user interface (UI). A first answer field format including a first data type associated with one or more first key terms of the question text is identified. The UI is updated to include first answer field options related to the first question text based on at least the first data type of the identified answer field format. In response to a detection that the user has provided second question text associated with the question via the UI, a second answer field format including a second data type associated with second key terms and at least one of the first key terms is identified. The UI is updated to include second answer field options related to the first question text and the second question text.
    Type: Grant
    Filed: July 8, 2022
    Date of Patent: July 11, 2023
    Assignee: Google LLC
    Inventors: Emily Burd, James Michael McCollum, Benjamin Schrom
  • Patent number: 11694022
    Abstract: A system and method for creating a dynamic electronic form are described. The system may include one or more processors that cause the system to perform create an electronic form with one or more data entry fields. The system may also obtain access to a plurality of datasets, where each dataset may include multiple entry fields and integrate at least one identified dataset with the electronic form. The system may further suggest at least one data input in the data entry field based on information input in the data entry field by a user. The data entry input suggested may be sourced from the identified dataset integrated to the electronic form.
    Type: Grant
    Filed: July 18, 2022
    Date of Patent: July 4, 2023
    Assignee: Palantir Technologies Inc.
    Inventors: Andrei Alexandrescu, Alexandru-Viorel Antihi, Bryan Williams, Cenk Sezgin, Geoffrey Bakker, Kunal Marwaha, Michal Adamczyk, Matthew Fedderly, Takashi Okamoto, Winnie Chai
  • Patent number: 11687796
    Abstract: An approach is provided that receives a document and a document type of the document. The document type identifies a document category to which the received document belongs. A set of linguistic metrics are retrieved that correspond to the document type. A quality of the received document is automatically determined based on a set of linguistic features found in the document as compared to the retrieved set of linguistic metrics. The document is then ingested into a corpus that is utilized by a question-answering (QA) system. The ingestion of the document is based on the determined quality.
    Type: Grant
    Filed: April 17, 2019
    Date of Patent: June 27, 2023
    Assignee: International Business Machines Corporation
    Inventors: Brien H. Muschett, Andrew R. Freed, Roberto Delima, David Contreras, Krishna Mahajan
  • Patent number: 11687798
    Abstract: In one embodiment, a deep fusion reasoning engine receives network telemetry data collected from a network. The deep fusion reasoning engine learns resource utilizations for different heuristic packages that can be used in the network to evaluate operation of the network. The deep fusion reasoning engine selects one of the heuristic packages based on the resource utilizations learned for the different heuristic packages. The selected heuristic package comprises a subservice and a set of rules to be evaluated. The deep fusion reasoning engine deploys the selected heuristic package for execution by a device in the network to evaluate operation of the network using the set of rules.
    Type: Grant
    Filed: March 6, 2020
    Date of Patent: June 27, 2023
    Assignee: Cisco Technology, Inc.
    Inventors: Hugo Latapie, Enzo Fenoglio, Carlos M. Pignataro, Nagendra Kumar Nainar, David Delano Ward
  • Patent number: 11681867
    Abstract: A reactive spreadsheet in which the functionality of the reactive spreadsheet is decoupled from the visualization, where the same object or variable may appear in different tabs and panels while still retaining its identity.
    Type: Grant
    Filed: January 11, 2022
    Date of Patent: June 20, 2023
    Assignee: LAKEBOLT RESEARCH
    Inventor: Enzo Alda
  • Patent number: 11669681
    Abstract: Media, methods, and systems are disclosed for automatically calculating predicted values using deep learning models. One or more input forms having a plurality of input form field values are received. The input form field values are automatically parsed into a set of computer-generated candidate standard field values. The set of candidate standard field values are automatically normalized into a data frame having a set of normalized field values. In response to determining which portions of the data frame to apply to a line calculation neural network, a corresponding line calculation neural network is applied. At least one output form line calculation is performed. A natural language explanation regarding the at least one output form line calculation is generated. Additional user provided inputs are received in response to the natural language explanation, and at least one remaining calculation is carried out based on the one or more additional user provided inputs.
    Type: Grant
    Filed: August 4, 2021
    Date of Patent: June 6, 2023
    Assignee: HRB Innovations, Inc.
    Inventors: Benjamin A. Kite, Jason N. Ward, Zhi Zheng
  • Patent number: 11670103
    Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.
    Type: Grant
    Filed: April 18, 2022
    Date of Patent: June 6, 2023
    Assignee: Cognition IP Technology Inc.
    Inventors: Bryant Lee, Andrew Tjang, Andrew Perry Chu, Uday Pulleti
  • Patent number: 11663410
    Abstract: In an approach to interpreting and summarizing online terms of use, a computer receives a terms of use agreement from a data source and a request for interpretation of the terms of use agreement from a user. A computer categorizes the terms of use agreement into one or more categories based on a type of data source of the terms of use agreement. A computer ranks one or more words in the terms of use agreement based on the categorization and on one or more additional terms of use agreements of the type of data source. A computer generates a summary of the terms of use agreement based on the ranking. A computer displays the summary of the terms of use agreement to the user. A computer receives input from the user associated with consent to the terms of use agreement. A computer stores the input.
    Type: Grant
    Filed: February 17, 2021
    Date of Patent: May 30, 2023
    Assignee: KYNDRYL, INC.
    Inventors: Sreeram Vasudevan, Lorinne Yoong, Monisha Oberoi
  • Patent number: 11656749
    Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.
    Type: Grant
    Filed: May 7, 2022
    Date of Patent: May 23, 2023
    Assignee: MATROID, INC.
    Inventors: Reza Zadeh, Dong Wang, Deepak Menghani, John Goddard, Ryan Tobin
  • Patent number: 11651147
    Abstract: A method and system for providing replacement text segment suggestions for an unoriginal text segment in a document may include examining a portion of the document to determine if the portion includes a text segment containing unoriginal content. Upon determining that the portion includes the unoriginal text segment, the method may enable display of a notification that the text segment contains unoriginal content and receive a request, via a network, to provide the replacement text segment for the unoriginal text segment. Upon receiving the request, the method may identify the replacement text segment for the text unoriginal segment, based at least in part a guideline relating to the use of content that is included in a source. The replacement text segment may include a citation for the source.
    Type: Grant
    Filed: December 4, 2020
    Date of Patent: May 16, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventor: Michael Gary Heyns
  • Patent number: 11645525
    Abstract: In an approach, a processor trains a statistical classifier and a set of micro classifiers. A processor receives an input to be classified by the statistical classifier. A processor receives a label assigned to the input by the statistical classifier and respective labels assigned by each micro classifier of the set of micro classifiers. A processor determines that the label assigned by the statistical classifier is the same as at least one label assigned by at least one micro classifier of the set of micro classifiers. A processor generates a natural language explanation for assigning the label using the at least one micro classifier and the label. A processor outputs the label and the natural language explanation to a user of a computing device. A processor receives user feedback from the user in the form of an acceptance or a rejection of the natural language explanation.
    Type: Grant
    Filed: May 27, 2020
    Date of Patent: May 9, 2023
    Assignee: International Business Machines Corporation
    Inventors: Poornima Chozhiyath Raman, Prithviraj Sen, Yunyao Li, Dakshi Agrawal
  • Patent number: 11640420
    Abstract: Embodiments disclose a method for automatic summarization of content. The method includes accessing a plurality of stories from a plurality of data sources for a predefined time. Each story is associated with a media item. The method includes plotting the plurality of stories over the predefined time for determining one or more peaks and extracting a set of stories from the one or more peaks. The method includes detecting one or more themes from the set of stories using LDA algorithm. Each theme is associated with a group of stories. The method further includes determining at least one subset of stories for each theme from the group of stories representing the set of stories in the one or more peaks using RBM algorithm. The method includes generating a summarized content for each user based on an associated user profile and the at least one subset of stories.
    Type: Grant
    Filed: April 7, 2021
    Date of Patent: May 2, 2023
    Assignee: ZIGNAL LABS, INC.
    Inventors: Adam Beaugh, Andras Benke, Jonathan R. Dodson, Michael Kramer, Felix Medina Wong, Alex Smith, Fabien Vives, Ali Zafarani, Michael David West
  • Patent number: 11615565
    Abstract: Methods and systems for structuring, storing and displaying time series data in a user interface. One system includes processors executing instructions to determine, from time series data from a first sensor, a first subset of time series data for the first batch from the first start time and the first end time, determine, from the time series data from the first sensor, a second subset of time series data for the second batch from the second start time and the second end time, generate a time series user interface comprising a chart, the chart including a first plot for the first subset of time series data and a second plot for the second subset of time series data, the first plot being aligned to the second plot, and cause presentation of the time series user interface.
    Type: Grant
    Filed: February 14, 2022
    Date of Patent: March 28, 2023
    Assignee: Palantir Technologies Inc.
    Inventors: John McRaven, Francis Chen, Shuyang Li, Spencer Tank, Xavier Falco
  • Patent number: 11615492
    Abstract: The present disclosure relates to systems and methods for analyzing citationally related content and identifying, based on the analysis, a risk of impliedly overruled content. Embodiments provide for receiving case law data from a document source, for extracting a case triple that includes a first case overruling or abrogating a second case, and a third case citationally related to the second case. Features may be generated from case triple, such as natural processing language features comparing the language in the various cases of the triple, and feeding the generated features to a main classifier. In embodiments, the main classifier classifies the case triple into a class indicating the risk probability that the second case is impliedly overruled by the first case.
    Type: Grant
    Filed: May 14, 2019
    Date of Patent: March 28, 2023
    Assignee: Thomson Reuters Enterprise Centre GmbH
    Inventors: Julian Brooke, Kanika Madan, Hector Martinez Alonso, Afsaneh Fazly, Tonya Custis, Isabelle Moulinier, Gayle McElvain, Diane Erickson, Khaled Ammar
  • Patent number: 11610048
    Abstract: Systems for generating a USPTO office action response document based on an input USPTO Office Action document. A method implementation for constructing the USPTO office action response traverses a ruletree that has been dynamically formed from user answers to successive questions based on characteristics of the USPTO Office Action document. The ruletree comprises a first set of data items that pertains to an HCI and the ruletree further comprises a second set of data items that pertain to the target USPTO office action response document. Correspondence between the set of user answers to questions and passages in the USPTO office action response document are maintained in the ruletree. The ruletree expands and contracts during user interaction. To generate the USPTO office action response document, the ruletree is traversed in a sorted order, where traversal of a node generates a passage or passages in the generated USPTO office action response document.
    Type: Grant
    Filed: April 13, 2019
    Date of Patent: March 21, 2023
    Inventors: Richard Charles Bridgeman, II, Rex Andrew West
  • Patent number: 11599727
    Abstract: An intelligent text cleaning method includes: acquiring a text set, and preprocessing the text set to obtain a word vector text set; subjecting the word vector text set to a full-text matrix numeralization to generate a principal word vector matrix and a text word vector matrix; inputting the principal word vector matrix to a BiLSTM model to generate an intermediate text vector; inputting the text word vector matrix to a convolution neural network model to generate a target text vector; and concatenating the intermediate text vector and the target text vector to obtain combined text vectors, inputting the combined text vectors to a pre-constructed semantic recognition classifier model, outputting an aggregated text vector, subjecting the aggregated text vector to reverse recovery using a word2vec reverse algorithm, and outputting a standard text. The present application realizes accurate text cleaning.
    Type: Grant
    Filed: August 23, 2019
    Date of Patent: March 7, 2023
    Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
    Inventors: Ziou Zheng, Wei Wang
  • Patent number: 11580188
    Abstract: The present invention may be a method, a system, and/or a computer program product. An embodiment of the present invention provides a method for paraphrasing, on a client computer, text in a webpage, the method comprising the following: transferring a request for a webpage including a plurality of passages of text to a server; receiving the webpage from the server in response to the request; judging whether or not the received webpage has text which is a subject of paraphrase; in a case where the judgment is positive, paraphrasing the text; and displaying, on a display, the webpage including the paraphrased text. Another embodiment of the present invention provides a method for updating on a server, text in a webpage, the method comprising the following: receiving, from each of the devices, a set of URLs of a webpage, a location path of text which is a subject of paraphrase in the webpage, and paraphrased text; and replacing text in the webpage with text among the received text.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: February 14, 2023
    Assignee: International Business Machines Corporation
    Inventors: Kentaroh Noji, Akihiko Takajo, Yukiko Yasuda
  • Patent number: 11568277
    Abstract: A method and system for detecting anomalies in mission-critical environments using word representation learning are provided. The method includes parsing at least one received data set into a text structure; isolating a protocol language of the at least one received data set, wherein the protocol language is a standardized pattern for communication over at least one communication protocol; generating at least one document from the contents of the received at least one data set, wherein the at least one document includes at least one parsed text structure referencing a unique identifier; detecting insights in the at least one generated document, wherein insights are detected in at least one representation having at least one dimension, wherein the representation is mapped to at least one learned hyperspace; extracting rules from the detected insights; and detecting anomalies by applying the extracted rules on patterns for communication over at least one communication protocol.
    Type: Grant
    Filed: December 16, 2019
    Date of Patent: January 31, 2023
    Assignee: Intuit Inc.
    Inventors: Liora Braunstein, Keren Cohavi, Yoav Spector
  • Patent number: 11552909
    Abstract: A computer-implemented method, computer system, and computer program product for for generation of a chatbot. The method may include receiving data in a first format. The method may include generating one or more clusters from the received data. The method may include labeling the generated one or more clusters. The method may include exporting the one or more labeled clusters into a cluster database. The method may include generating the chatbot using the one or more labeled clusters exported from the cluster database. The method may include executing a validation script into the chatbot to generate a report. The method may include receiving a determination on an accuracy of the chatbot based on the generated report. In response to determining that the chatbot is not accurate, the method may include determining whether a manual adjustment directly on the chatbot is needed.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: January 10, 2023
    Assignee: KYNDRYL, INC.
    Inventors: Marcelo Lopes de Moraes, Anthony Miranda Vieira, Peterson Almeida, Sergio Varga
  • Patent number: 11544795
    Abstract: In an illustrative embodiment, methods and systems for automatically labeling unstructured data include accessing unstructured data representing data entry and analyzing the unstructured data by applying natural language processing to a text component of the unstructured data to obtain a set of term counts of words and/or phrases identified in the text component. Analyzing may include applying at least one clustering algorithm to the set of term counts to determine a term cluster, identifying a preexisting term cluster most closely matching the term cluster, and applying, to the unstructured data, a predefined label corresponding to the preexisting term cluster. The unstructured data may be analyzed to obtain formatting counts of formatting elements, and a formatting cluster may be determined and applied to match to a preexisting formatting cluster, thus deriving a predefined label corresponding to the preexisting formatting cluster.
    Type: Grant
    Filed: February 7, 2022
    Date of Patent: January 3, 2023
    Assignee: FUTURITY GROUP, INC.
    Inventors: John Wang, Hari Nathan