METHOD FOR EXTRACTING A COMPACT REPRESENTATION OF THE TOPICAL CONTENT OF AN ELECTRONIC TEXT
Patent №
US 7,587,381
Granted
2009-09-08
Filed 2003
Owner
THINK TANK 23 LLC
+4 more
Lab
—
AI components
4
ml · nlp · vision · kr
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
10350869
An electronic document is parsed to remove irrelevant text and to identify the significant elements of the retained text. The elements are assigned scores representing their significance to the topical content of the document. A matrix of element-pairs is constructed such that the matrix nodes represent the result of one or more functions of the scores and other attributes of the paired elements. The resulting matrix is a compact representation of topical content that affords great precision in information retrieval applications that depend on measurements of the relatedness of topical content.
AI classification
Ownership
THINK TANK 23 LLC
assignment · 202810027
SPHERE SOURCE, INC.
assignment · 202810063
SURPHACE ACQUISITION, INC.
assignment · 257430896
OUTBRAIN, INC.
assignment · 350170809
SURPHACE INC.
namechg · 350900228
Assignors
NIEKER, STEVEN, REMY, MARTIN
On an employer assignment, the assignors are typically the inventors.