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.

Natural languageVisionKnowledge representationPlanningG06F 40/284G06F 17/18G06F 18/217G06F 18/22G06F 18/285G06F 40/186G06F 40/205G06F 40/216+6 more

AI classification

Natural language1.00
Planning1.00
Vision1.00
Knowledge representation0.77
Machine learning0.33
AI hardware0.05
Evolutionary computation0.00
Speech0.00

Ownership

FIRST AMERICAN FINANCIAL CORPORATION

assignment · 562150440

Assignors

FLEMING, MARK, QIU, YAN

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

From the same owner

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