Willow Spring, NC, United States of America

David Contreras

This inventor holds 23 USPTO granted patents and 1 published patent application, primarily in Natural Language Processing. Top assignee: International Business Machines Corporation. Active years: 2013-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Contreras. Retrieved from https://idiyas.com/inventor/david-contreras

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

Calculating rank

USPTO Granted Patents = 23 (Patent Applications = 1)

% Patents Active = 69.6

Average Co-Inventor Count = 3.8

ph-index = 4

Forward Citations = 25(Granted Patents)

Location History:

Apex, NC (US) (2013 - 2020)
Willow Spring, NC (US) (2020 - 2023)

Company Filing History:

23 out of 166,425

International Business Machines Corporation

patents

Years Active: 2013-2023

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Areas of Expertise:

Document Quality

Semantic Evaluation

Machine Learning Algorithms

Text Classification

Contextual Frameworks

Deep Learning

Visual Recognition

Error Detection

Grammatical Correction

NLP Techniques

Data Processing

Heuristic Generation

23 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11687796 - Document type-specific quality model (2023-06-27),

2. 11593561 - Contextual span framework (2023-02-28),

3. 11397851 - Classifying text to determine a goal type used to select machine learning algorithm outcomes (2022-07-26),

4. 11392764 - Classifying text to determine a goal type used to select machine learning algorithm outcomes (2022-07-19),

5. 11295080 - Automatic detection of context switch triggers (2022-04-05),

6. 11205053 - Semantic evaluation of tentative triggers based on contextual triggers (2021-12-21),

7. 11138380 - Identifying semantic relationships using visual recognition (2021-10-05),

8. 11120215 - Identifying spans using visual recognition (2021-09-14),

9. 11113469 - Natural language processing matrices (2021-09-07),

10. 11017171 - Relevancy as an indicator for determining document quality (2021-05-25),

11. 10956662 - List manipulation in natural language processing (2021-03-23),

12. 10902044 - Cognitive document quality determination with automated heuristic generation (2021-01-26),

13. 10740555 - Deep learning approach to grammatical correction for incomplete parses (2020-08-11),

14. 10599776 - Predicate parses using semantic knowledge (2020-03-24),

15. 10585984 - Techniques for improving input text processing in a data processing system that answers questions (2020-03-10),

Title: **David Contreras: Innovator in Document Quality and Linguistic Analysis**

Introduction

David Contreras is an accomplished inventor based in Willow Spring, North Carolina, with an impressive portfolio of 23 patents. His innovative work primarily focuses on enhancing document processing techniques and linguistic analysis, contributing significantly to advancements in technology.

Latest Patents

Among his latest patents, two notable inventions stand out. The first, titled **Document type-specific quality model**, presents a method that receives a document alongside its corresponding category. This innovation retrieves relevant linguistic metrics to automatically determine the document's quality based on its features, facilitating its integration into a corpus utilized by question-answering systems. The second patent, known as the **Contextual span framework**, offers a sophisticated mechanism for interpreting phrases containing trigger words. This framework analyzes the relationships between the trigger words and other words in a phrase, allowing for precise modifications in meaning.

Career Highlights

David currently works at International Business Machines Corporation (IBM), a leader in technological innovation. His work at IBM has allowed him to push the boundaries of document analysis and quality assessment techniques, placing him at the forefront of the industry.

Collaborations

In his professional journey, David has collaborated with distinguished coworkers, including Robert Christian Sizemore and Brendan Bull. These collaborations have enabled him to enhance his inventions through shared expertise and insights, further solidifying his contributions to the field.

Conclusion

David Contreras’s drive for innovation and his extensive patent portfolio reflect his commitment to advancing technology in document analysis and linguistic processing. His work continues to impact various industries, demonstrating the significance of his contributions to modern computational linguistics.

Profile summary based on public USPTO records.

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]

1 patent pending: