Adam R Faulkner

US Patent:

20130103623, Apr 25, 2013

Filed:

Oct 19, 2012

Appl. No.:

13/655528

Inventors:

Educational Testing Service - Princeton NJ, US
Beata Beigman Klebanov - Hamilton NJ, US
Joel Tetreault - Lawrenceville NJ, US
Nitin Madnani - Princeton NJ, US
Adam Faulkner - Brooklyn NY, US

Assignee:

EDUCATIONAL TESTING SERVICE - Princeton NJ

International Classification:

G06F 15/18

US Classification:

706 12

Abstract:

Systems and methods are provided for the detection of sentiment in writing. A plurality of texts is received from a larger collection of writing samples with a computer system. A set of seed words from the plurality of texts are labeled as being of positive sentiment or of negative sentiment with the computer system. The set of seed words is expanded in size with the computer system to provide an expanded set of seed words. Intensity values are assigned to words of the expanded set of seed words. Each of the words of the expanded set of seed words is assigned three intensity values: a value corresponding to the strength of the word's association with a positive polarity class, a value corresponding to the strength of the word's association with a negative polarity class, and a value corresponding to the strength of the word's association with a neutral polarity class.

US Patent:

20230045930, Feb 16, 2023

Filed:

Aug 13, 2021

Appl. No.:

17/402027

Inventors:

- McLean VA, US
Adam FAULKNER - New York NY, US
Maury COURTLAND - Durham NC, US
David CHEN - Durham NC, US
Jonathan GALSURKAR - New York NY, US

Assignee:

Capital One Services, LLC - McLean VA

International Classification:

H04M 3/51
H04M 3/523
G10L 15/08

Abstract:

Disclosed herein are system, method, and computer program product embodiments for machine learning systems to process incoming call-center calls based on inferred sentiments. An incoming call is routed to a call agent based on an inferred topic, classified based on one or more inferred sentiments of a current caller's speech, determining, based on the call classification, that a complaint has been articulated and initiating an automated assistance by searching for one or more similar callers to the current caller. Based on finding a successful call outcome associated with one or more similar callers, the system suggests one or more phrases to the call agent for use in a dialog with the current caller to improve the one or more inferred sentiments.

US Patent:

20210319176, Oct 14, 2021

Filed:

Sep 24, 2020

Appl. No.:

17/030827

Inventors:

- McLean VA, US
Adam FAULKNER - McLean VA, US
Gayle McELVAIN - McLean VA, US

Assignee:

Capital One Services, LLC - McLean VA

International Classification:

G06F 40/253
G06F 40/30

Abstract:

A system and method of operating a system for automatically punctuating text using non-recurrent neural networks is disclosed. The system and method at least: applying a text string to a first component of a non-recurrent neural network trained to generate one or more contextualized vectors, wherein the first component determines the contextualized vectors by processing each word in the text string in parallel with one another; applying the contextualized vectors to a second component of the non-recurrent neural network trained to generate a set of probability values for each word in the text string, wherein the second component determines the set of probability values by processing the contextualized vectors in parallel with one another; and transmitting the set of probability values to a text generation engine to generate a formatted text string based on the set of probability values.

US Patent:

20210104307, Apr 8, 2021

Filed:

Oct 4, 2019

Appl. No.:

16/593178

Inventors:

- Armonk NY, US
Gema Almoguera - Irving TX, US
Kenneth J. Barker - Mahopac NY, US
Ching-Hua Chen - New York NY, US
Adam R. Faulkner - New York NY, US
Pei-Yun Hsueh - New York NY, US
Chandramouli Maduri - Elmsford NY, US
Sara Rosenthal - Spring Valley NY, US

International Classification:

G16H 20/00
G16H 50/20
G16H 50/50
G16H 80/00
G16H 10/60
G06K 9/00
G06N 5/04

Abstract:

A mechanism is provided in a data processing system to implement a personalized patient engagement engine. The personalized patient engagement engine develops a set of models for a plurality of behavioral phenotypes based on anonymized unstructured and structured patient-care management records for a plurality of patients over a period of time; matches a given patient to a behavioral phenotype; estimates a propensity of positive and/or negative behavioral responses of each of a plurality of targeted behaviors; dynamically updates personalized intervention effectiveness rankings in context for care manager and patient decision-making based on what has been shown to lead to positive responses for individuals with a similar behavioral profile; generates an intervention recommendation for the given patient based on the personalized intervention effectiveness rankings relative to the patient given an assigned goal and an individual intervention effect estimation; and provides the intervention recommendation to the care manager.

US Patent:

20180357272, Dec 13, 2018

Filed:

Jun 13, 2017

Appl. No.:

15/621623

Inventors:

- Armonk NY, US
Kenneth J. Barker - Mahopac NY, US
Branimir K. Boguraev - Bedford NY, US
Mihaela A. Bornea - White Plains NY, US
Adam R. Faulkner - New York NY, US
Yanpeng Li - Elmsford NY, US
Siddharth A. Patwardhan - Ridgewood NJ, US
Sara Rosenthal - Spring Valley NY, US

International Classification:

G06F 17/30

Abstract:

Provided herein are techniques for processing a context-situated inquiry to provide results satisfying the inquiry. An inquiry and its supporting context are processed using natural language processing to determine an interpretation for the inquiry and context, and the interpretation is presented to receive corrective information for the interpretation. The corrective information is applied to the interpretation and content is retrieved based on the interpretation of inquiry and context to produce candidate results for the inquiry. Supplemental information is iteratively received to generate updated candidate results.