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Princeton, NJ, United States of America

Educational Testing Service

USPTO Granted Patents = 226

% Expired Patents = 41.6

CIPO Patents = 2

Trademarks = 68

Forward Citations = 3,553

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271 inventors (with patents filed for the assignee):

Klaus Zechner (27 out of 27 patents)

Lei Chen (24 out of 24 patents)

Jill C Burstein (23 out of 23 patents)

4. Keelan Evanini (17 out of 17 patents)

5. Martin S Chodorow (17 out of 17 patents)

6. Michael Flor (16 out of 16 patents)

7. Derrick Higgins (15 out of 15 patents)

8. Beata Beigman Klebanov (14 out of 14 patents)

9. Paul Douglas Deane (13 out of 13 patents)

10. Swapna Somasundaran (12 out of 12 patents)

11. Yao Qian (10 out of 10 patents)

12. Vikram Ramanarayanan (10 out of 14 patents)

13. Su-Youn Yoon (10 out of 10 patents)

14. David Suendermann-Oeft (9 out of 11 patents)

15. Chee Wee Leong (9 out of 9 patents)

Core Competencies:

Automated Scoring

Machine Learning

Natural Language Processing

Behavior Assessment

Text Segmentation

Argument Mining

Speech Scoring

Reading Fluency

Content Feedback

Plagiarism Detection

E-Assessment

User Engagement

226 patents: Sort by Forward Citations

1. 12626319 - Systems and methods for evaluating career interests through situation judgment test format (2026-05-12),

2. 12620321 - Systems and methods for automated fine-grained speech scoring (2026-05-05),

3. 12609046 - Systems and methods for controlled language generation for language learning items (2026-04-21),

4. 12548587 - Systems and methods for modeling in-the-moment lexical experience for tracking oral reading fluency (2026-02-10),

5. 12468887 - Machine learning-based metaphor detection (2025-11-11),

6. 12468884 - Machine learning-based argument mining and classification (2025-11-11),

7. 12300244 - NLP-guided video thin-slicing for automated scoring of non-cognitive, behavioral performance tasks (2025-05-13),

8. 12300115 - Computer-implemented task completion platform for visually impaired students (2025-05-13),

9. 12293159 - Grammar practice item creation using language models (2025-05-06),

10. 12271694 - Machine learning-based automated narrative text scoring including emotion arc characterization (2025-04-08),

11. 12249324 - Targeted content feedback in spoken language learning and assessment (2025-03-11),

12. 12249252 - Machine learning-based argument component segmentation (2025-03-11),

13. 12204856 - Training and domain adaptation for supervised text segmentation (2025-01-21),

14. 12046155 - Automatic evaluation of argumentative writing by young students (2024-07-23),

15. 11861317 - Ensemble-based machine learning characterization of human-machine dialog (2024-01-02),

Company Overview

Educational Testing Service, headquartered in Princeton, NJ, specializes in the development of innovative assessment solutions, particularly in the realm of automated scoring systems. The organization leverages advanced technologies such as machine learning and natural language processing to enhance the evaluation of educational outcomes. Its core focus areas include behavior assessment, text segmentation, argument mining, speech scoring, and reading fluency, aiming to improve the accuracy and efficiency of educational assessments globally.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

226 Patents

#12 in Princeton, NJ

#88 in New Jersey

#1,850 in US

#3,783 in the World

Princeton, NJ, United States of America

Educational Testing Service

Forward Citations = 3,553

271 inventors:

Klaus Zechner (27 out of 27 patents)

Lei Chen (24 out of 24 patents)

Jill C Burstein (23 out of 23 patents)

4. Keelan Evanini (17 out of 17 patents)

5. Martin S Chodorow (17 out of 17 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Educational Testing Service. Retrieved from https://idiyas.com/company/educational-testing-service

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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