Patent · US Active

Method and system for analyzing entities

US11263250B2 · kind B2 · utility

0Cited by

5References

20Claims

0Family size

Assignee

Pulselight Holdings, Inc. · US

Inventors

Jonathan Mugan · Kyle, US
Laura Hitt · Austin, US
Jimmie Goode · Austin, US
Russ Gregory · Austin, US
Yuan Qu · Austin, US

Key dates

Filing date	Oct 14, 2019
Grant date	Mar 1, 2022
Priority date	—
Expiry date	Oct 9, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N7/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A recurrent neural network (RNN) method implemented on a computer system is used to produce summaries of unstructured text generated by multiple networks of individuals interacting over time by encoding the unstructured text into intermediate representations and decoding the intermediate representations into summaries of each network. Parameter data for the RNN is obtained by using multiple different versions of the same source texts to train the computer system. The method and computer system can be used to identify which of the networks match a query by determining which network generates the query with low or lowest cost.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.