GENERATION OF CONTEXT-INFORMATIVE CO-CITATION GRAPHS

Patent №

US 9,075,873

Granted

2015-07-07

Filed 2011

Owner

MICROSOFT CORPORATION

AI components

3

nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13045544

Described herein are technologies pertaining to generating co-citation graphs. A context-informative co-citation graph includes a first node that represents a first research document, a second node that represents a second research document, and a third node that represents a third research document that includes a citation to both the first research document and the second research document. The context-informative co-citation graph also includes a first edge that couples the first node and the third node, and a second edge that couples the second node and the third node. The two edges visually indicate that the first research document and the second research document are co-cited by the third research document. The context-informative co-citation graph further includes at least a portion of a sentence in the third research document that includes a citation to at least one of the first research document or the second research document.

AI classification

Natural language1.00
Knowledge representation1.00
Planning0.94
Machine learning0.45
Vision0.33
AI hardware0.32
Evolutionary computation0.15
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 259640010

Assignors

VANDERWENDE, LUCRETIA HENRICA, NAIM, OSCAR GERARDO

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

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