Patents Assigned to Astrata, Inc.
  • Patent number: 12769944
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for temporal modeling. One of the methods includes for each of one or more candidate anchors included in a plurality of tokens for a document, the plurality of tokens including a) at least one temporal modifier with a span, and b) at least one anchor i) for the temporal modifier and ii) that has a duration at least partially included in the span of the temporal modifier: accessing a representation of a context for the corresponding candidate anchor in the document; determining an attention of the corresponding token on the corresponding candidate anchor; and determining whether a duration of the corresponding candidate anchor is likely included in the span of the temporal modifier; and storing, in memory, data for the document that indicates that the corresponding candidate anchor is an anchor for the temporal modifier.
    Type: Grant
    Filed: December 28, 2023
    Date of Patent: October 20, 2026
    Assignee: Astrata, Inc.
    Inventors: Melissa Weller, Wei Wei, Rebecca Jacobson
  • Patent number: 12694232
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing metadata. One of the methods includes accessing a document a) that has, in metadata that can be used to perform natural language processing, a first set of values for a first subset of metadata types from a plurality of metadata types and b) for which a second set of values for a second subset of metadata types from the plurality can be augmented; selecting, for a metadata type from the second subset of metadata types, one or more value extraction processes from a plurality of value extraction processes each of which is for a corresponding metadata type from the plurality; determining, using the one or more value extraction processes and the document, a value for the metadata type; and storing the value for the metadata type as part of the metadata for the document.
    Type: Grant
    Filed: December 19, 2023
    Date of Patent: July 28, 2026
    Assignee: Astrata, Inc.
    Inventors: Melissa Weller, Paige Haring, Eugene Tseytlin, Christopher Garcia Cordova
  • Patent number: 11315668
    Abstract: Among other things, unstructured text items are processed to identify elements of the unstructured text items relevant to classification rules of quality metrics applicable to services provided by a healthcare provider with respect to diseases, conditions, or interventions of patients. The classification rules define classifications of patients based on diseases, conditions, or interventions of patients or on aspects of the services provided. Through a user interface, the unstructured text items, the identified elements, and user interface controls for classifying the patients with respect to the classification rules, based on the identified elements, are presented to the user.
    Type: Grant
    Filed: October 1, 2020
    Date of Patent: April 26, 2022
    Assignee: Astrata, Inc.
    Inventors: Melissa Castine, Girish Chavan, Carly Cook, Rebecca Jacobson, Jody Madala, Amy Malanga, Eugene Tseytlin, Adam Yee