Patents by Inventor Claudia BOBACH

Claudia BOBACH 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).

  • Patent number: 11537788
    Abstract: Methods, systems, and non-transitory media for training a chemical entity recognition system to extract chemical compounds from a patent document and determine a relevance of the chemical compounds to the patent document are disclosed. A method includes obtaining patent documents from patent databases, normalizing each patent document into a unified format, and generating a chemical patent corpus. The chemical patent corpus includes chemical entities, each having relevancy annotations that indicate a relevance to the patent document from which the chemical entity is extracted.
    Type: Grant
    Filed: March 6, 2019
    Date of Patent: December 27, 2022
    Assignees: Elsevier, Inc.
    Inventors: Saber A. Akhondi, Hinnerk Rey, Markus Schwoerer, Heike Nau, Gabriele Ilchmann, Matthias Irmer, Claudia Bobach
  • Publication number: 20210133172
    Abstract: The invention refers to a method of creating, storing and retrieving data sets including many complex data elements comprising the steps of receiving multiple data elements to be stored from an input data structure, providing a transformed and normalized data structure for storage into an inverted index and storage data system and providing a inverted index based search engine that allows to retrieve those data elements using hierarchical and relational data queries. In particular, the invention refers to a method for providing an interface to an inverted index and storage by creating algorithmically a logical index schema and view from the structure of the received data elements, including hierarchical and other relational information. Moreover, the present invention also refers to a method for searching those hierarchical and relational searching data structures.
    Type: Application
    Filed: October 16, 2020
    Publication date: May 6, 2021
    Inventors: Timo Böhme, Matthias Irmer, Claudia Bobach, Lutz Weber
  • Publication number: 20210004586
    Abstract: Methods, systems, and non-transitory media for training a chemical entity recognition system to extract chemical compounds from a patent document and determine a relevance of the chemical compounds to the patent document are disclosed. A method includes obtaining patent documents from patent databases, normalizing each patent document into a unified format, and generating a chemical patent corpus. The chemical patent corpus includes chemical entities, each having relevancy annotations that indicate a relevance to the patent document from which the chemical entity is extracted.
    Type: Application
    Filed: March 6, 2019
    Publication date: January 7, 2021
    Applicant: Elsevier, Inc.
    Inventors: Saber A. AKHONDI, Hinnerk REY, Markus SCHWOERER, Heike NAU, Gabriele ILCHMANN, Matthias IRMER, Claudia BOBACH