×

Text segmentation and label assignment with user interaction by means of topic specific language models and topic-specific label statistics

  • US 8,200,487 B2
  • Filed: 11/12/2004
  • Issued: 06/12/2012
  • Est. Priority Date: 11/21/2003
  • Status: Active Grant
First Claim
Patent Images

1. A method for generating a structured text from an unstructured text, the method comprising acts of:

  • segmenting the unstructured text into text sections;

    assigning, to at least one text section, a topic being indicative of content of the at least one text section, wherein the act of segmenting the unstructured text and/or the act of assigning a topic to the at least one text section uses at least one statistical model built from annotated training data;

    providing to a user a first structured text comprising the at least one text section and a section heading for the at least one text section, the section heading corresponding to the topic assigned to the at least one text section;

    receiving user input indicating at least one modification to the first structured text;

    using a computer system to process the at least one modification received from the user to generate a second structured text; and

    logging and analyzing the at least one modification received from the user to adapt the at least one statistical model.

View all claims
  • 5 Assignments
Timeline View
Assignment View
    ×
    ×