SYSTEM AND METHOD FOR AUTOMATED SELECTION OF BEST DESCRIPTION FROM DESCRIPTIONS EXTRACTED FROM A PLURALITY OF DATA SOURCES USING NUMERIC COMPARISON AND TEXTUAL CENTRALITY MEASURE
Patent №
US 11,790,680
Granted
2023-10-17
Filed 2021
Owner
FIRST AMERICAN FINANCIAL CORPORATION
Lab
—
AI components
4
nlp · vision · kr · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
17231953
Techniques are described for collecting descriptions of an entity from different data sources and using a numeric comparison and textual centrality measure to automatically select a best description. In one implementation, a method includes: retrieving a real property description dataset, the real property description dataset including descriptions from multiple data sources that describe the real property; extracting, from each of the descriptions, numbers that identify the property; performing a numerical comparison of the numbers extracted from each of the descriptions to determine if any descriptions needs to be discarded from further consideration; applying a text cleaning process to normalize the descriptions; and performing a textual centrality measure of remaining descriptions to determine a level agreement of each of the remaining descriptions with each of the other remaining descriptions; and using at least the textual centrality measure to select a description. The selected description may be used to populate a document.
AI classification
Ownership
FIRST AMERICAN FINANCIAL CORPORATION
assignment · 562150440
Assignors
FLEMING, MARK, QIU, YAN
On an employer assignment, the assignors are typically the inventors.