GRAPH-BASED RANKING ALGORITHMS FOR TEXT PROCESSING

Patent №

US 7,809,548

Granted

2010-10-05

Filed 2005

Owner

NORTH TEXAS, UNIVERSITY OF

Lab

AI components

5

ml · nlp · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11075625

The present invention provides a method of processing at least one natural language text using a graph. The method includes determining a plurality of text units based upon the natural language text, associating the plurality of text units with a plurality of graph nodes, and determining at least one connecting relation between at least two of the plurality of text units. The method also includes associating the at least one connecting relation with at least one graph edge connecting at least two of the plurality of graph nodes and determining a plurality of rankings associated with the plurality of graph nodes based upon the at least one graph edge. The method can also include a graphical visualization of at least one important text unit in a natural language text or collection of texts. Methods for word sense disambiguation, keyword extraction, and sentence extraction are also provided.

AI classification

Natural language1.00
Machine learning1.00
Knowledge representation0.98
AI hardware0.84
Speech0.78
Vision0.13
Evolutionary computation0.10
Planning0.00

Ownership

NORTH TEXAS, UNIVERSITY OF

assignment · 163680944

Assignors

MIHALCEA, RADA, TARAU, PAUL

On an employer assignment, the assignors are typically the inventors.

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