Named entity recognition with convolutional networks
AssigneeLeverton Holding LLC
InventorChristian Schäfer
Life of this patent
Estimating the term…
Abstract
Methods and systems for recognizing named entities within the text of a document are provided. The methods and systems may include receiving a document image and recognized text of the document image. A feature map of the document image may be created, a tagged map may be created, and locations of tags within the tagged map may be estimated using a machine learning model. Named entities with the recognized text may be recognized based on the one or more locations of the tags. In some embodiments, the machine learning model is a convolutional neural network. In further embodiments, creating the feature map may include determining, for a subset of the cells of the feature map, one or more features of the recognized text contained in a corresponding portion of the document image.
Claims20
A method comprising:
- receiving a document image and a recognized text of the document image;
- creating a feature map of the document image comprising one or more features of the recognized text;
- creating a tagged map including one or more tagged cells;
- estimating, with a machine learning model, one or more locations of a tag in the tagged map;
- and
- recognizing one or more named entities within the recognized text based on the one or more locations of the tag.
A system comprising:
- a processor;
- and
- a document intake system comprising a feature map creator, a tag predictor, and a named entity recognizer,
- wherein the document intake system is configured, when executed by the processor, to:
- receive a document image and a recognized text of the document image;
- create, with the feature map creator, a feature map of the document image comprising one or more features of the recognized text;
- create, with a tag predictor, a tagged map including one or more tagged cells;
- estimate, with a machine learning model, one or more locations of a tag in the tagged map;
- and
- recognize, with a named entity recognizer, one or more named entities within the recognized text based on the one or more locations of the tag.
A computer-readable medium storing instructions which, when executed by one or more processors, cause the one or more processors to:
- receive a document image and a recognized text of the document image;
- create a feature map of the document image comprising one or more features of the recognized text;
- create a tagged map including one or more tagged cells;
- estimate one or more locations of a tag in the tagged map;
- and
- recognize one or more named entities within the recognized text based on the one or more locations of the tag.
Dependencies are inferred from the claim text.