Information processing apparatus, information processing system, information processing method, and storage medium
AssigneeCanon Kabushiki Kaisha
InventorKEN ACHIWA
Life of this patent
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Abstract
To make it possible to extract a character string corresponding to each extraction-target item with accuracy even in a case where the character string ranges of a plurality of extraction-target items overlap one another in the task of named entity recognition. By using a training model trained to extract a character string corresponding to each of a plurality of items within a document, a character string corresponding to each of the plurality of items is extracted and output for an input document image. Then, a character string corresponding to an item among the plurality of items, for which a corresponding character string is not extracted, is re-extracted from the character string output by the first extracting.
Claims13
An information processing apparatus comprising:
- one or more memories storing instructions;
- and
- one or more processors executing the instructions to perform:
- first extracting to extract, by using a training model trained to extract a character string corresponding to each of a plurality of items within a document, a character string corresponding to each of the plurality of items for an input document image;
- and
- second extracting to extract a character string corresponding to an item among the plurality of items, for which a corresponding character string is not extracted by the first extracting, from the character string obtained by the first extracting.
An information processing system comprising:
- a training device generating a training model by performing training for extracting a character string corresponding to each of a plurality of items from a document image;
- and
- an information processing apparatus performing first extracting to extract, by using the training model, a character string corresponding to each of the plurality of items for an input document image and second extracting to extract a character string corresponding to an item among the plurality of items, for which a corresponding character string is not extracted by the first extracting, from the character string obtained by the first extracting.
An information processing method comprising the steps of:
- performing first extracting to extract, by using a training model trained to extract a character string corresponding to each of a plurality of items within a document, a character string corresponding to each of the plurality of items for an input document image;
- and
- performing second extracting to extract a character string corresponding to an item among the plurality of items, for which a corresponding character string is not extracted by the first extracting, from the character string obtained by the first extracting.
A non-transitory computer readable storage medium storing a program for causing a computer to perform an information processing method comprising the steps of:
- performing first extracting to extract, by using a training model trained to extract a character string corresponding to each of a plurality of items within a document, a character string corresponding to each of the plurality of items for an input document image;
- and
- performing second extracting to extract a character string corresponding to an item among the plurality of items, for which a corresponding character string is not extracted by the first extracting, from the character string obtained by the first extracting.
Dependencies are inferred from the claim text.