Patents by Inventor Alexander Loser

Alexander Loser 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).

  • Graph based re-composition of document fragments for name entity recognition under exploitation of enterprise databases
    Patent number: 8229883
    Abstract: Methods and systems are described that involve recognizing complex entities from text documents with the help of structured data and Natural Language Processing (NLP) techniques. In one embodiment, the method includes receiving a document as input from a set of documents, wherein the document contains text or unstructured data. The method also includes identifying a plurality of text segments from the document via a set of tagging techniques. Further, the method includes matching the identified plurality of text segments against attributes of a set of predefined entities. Lastly, a best matching predefined entity is selected for each text segment from the plurality of text segments. In one embodiment, the system includes a set of documents, each document containing text or unstructured data. The system also includes a database storage unit that stores a set of predefined entities, wherein each entity contains a set of attributes.
    Type: Grant
    Filed: March 30, 2009
    Date of Patent: July 24, 2012
    Assignee: SAP AG
    Inventors: Falk Brauer, Wojciech Barczynski, Hong-Hai Do, Alexander Löser, Marcus Schramm
  • GRAPH BASED RE-COMPOSITION OF DOCUMENT FRAGMENTS FOR NAME ENTITY RECOGNITION UNDER EXPLOITATION OF ENTERPRISE DATABASES
    Publication number: 20100250598
    Abstract: Methods and systems are described that involve recognizing complex entities from text documents with the help of structured data and Natural Language Processing (NLP) techniques. In one embodiment, the method includes receiving a document as input from a set of documents, wherein the document contains text or unstructured data. The method also includes identifying a plurality of text segments from the document via a set of tagging techniques. Further, the method includes matching the identified plurality of text segments against attributes of a set of predefined entities. Lastly, a best matching predefined entity is selected for each text segment from the plurality of text segments. In one embodiment, the system includes a set of documents, each document containing text or unstructured data. The system also includes a database storage unit that stores a set of predefined entities, wherein each entity contains a set of attributes.
    Type: Application
    Filed: March 30, 2009
    Publication date: September 30, 2010
    Inventors: Falk Brauer, Wojciech Barczynski, Hong-Hai Do, Alexander Loser, Marcus Schramm