SYSTEMS AND METHODS FOR ELECTRONIC DOCUMENT GENRE CLASSIFICATION USING DOCUMENT GRAMMARS

Patent №

US 7,734,636

Granted

2010-06-08

Filed 2005

Owner

XEROX CORPORATION

Lab

AI components

4

nlp · vision · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11094415

A system for classifying a genre of an electronic document may include a network processor configured to receive an electronic document and convert the electronic document to rich text format (RTF). The processor may be configured to parse the RTF document into lines of text ordered from top to bottom and left to right and assign tokens to each line of text based on content of the line and to line separators based on space between blocks of lines. The network processor may be configured to sequence the tokens, parse the tokenized document with a number of pre-defined document grammars, determine a probability for each genre corresponding to the electronic document, and classify the electronic document as the genre with the highest probability.

Natural languageVisionKnowledge representationAI hardwareG06F 40/258G06V 30/1452G06V 30/416G06V 30/10Y10S 707/99934Y10S 707/99948

AI classification

Natural language1.00
Vision1.00
Knowledge representation0.91
AI hardware0.72
Machine learning0.31
Speech0.04
Planning0.01
Evolutionary computation0.00

Ownership

XEROX CORPORATION

assignment · 164450998

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