METHOD AND SYSTEM FOR RANKING WORDS AND CONCEPTS IN A TEXT USING GRAPH-BASED RANKING

Patent №

US 7,430,504

Granted

2008-09-30

Filed 2004

Owner

MICROSOFT CORPORATION

AI components

5

ml · nlp · vision · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10825642

The present invention is a method and system for identifying words, text fragments, or concepts of interest in a corpus of text. A graph is built which covers the corpus of text. The graph includes nodes and links, where nodes represent a word or a concept and links between the nodes represent directed relation names. A score is then computed for each node in the graph. Scores can also be computed for larger sub-graph portions of the graph (such as tuples) The scores are used to identify desired sub-graph portions of the graph, those sub-graph portions being referred to as graph fragments.

AI classification

Natural language1.00
Machine learning1.00
Vision0.96
Knowledge representation0.94
AI hardware0.84
Evolutionary computation0.02
Speech0.00
Planning0.00

Ownership

MICROSOFT CORPORATION

assignment · 152300362

Assignors

VANDERWENDE, LUCRETIA H., MENEZES, AURL A., BANKO, MICHELE L.

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

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