18587716. UTILIZING REGULAR EXPRESSION EMBEDDINGS FOR NAMED ENTITY RECOGNITION SYSTEMS simplified abstract (Capital One Services, LLC)

UTILIZING REGULAR EXPRESSION EMBEDDINGS FOR NAMED ENTITY RECOGNITION SYSTEMS

Organization Name

Capital One Services, LLC

Inventor(s)

Jeremy Edward Goodsitt of Champaign IL (US)

Austin Grant Walters of Savoy IL (US)

Reza Farivar of Champaign IL (US)

Mark Louis Watson of Sedona AZ (US)

Anh Truong of Champaign IL (US)

Galen Rafferty of Mahomet IL (US)

Vincent Pham of Champaign IL (US)

UTILIZING REGULAR EXPRESSION EMBEDDINGS FOR NAMED ENTITY RECOGNITION SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18587716 titled 'UTILIZING REGULAR EXPRESSION EMBEDDINGS FOR NAMED ENTITY RECOGNITION SYSTEMS

Simplified Explanation:

The patent application describes a system that uses regular expressions (regex) to identify patterns in structured or unstructured datasets, such as characters, words, text, numbers, etc. These patterns can reveal insights about the dataset and any contained patterns.

• Key Features and Innovation:

   * Utilizes regular expressions to recognize patterns in datasets.
   * Identifies occurrences and frequencies of regex patterns.
   * Reveals insights about the dataset and contained patterns.

Potential Applications: The technology can be applied in various fields such as data analysis, text mining, pattern recognition, and information retrieval.

Problems Solved: This technology helps in efficiently identifying and analyzing patterns in datasets, which can be time-consuming and challenging manually.

Benefits:

• Saves time and effort in pattern recognition.
• Provides insights into datasets and patterns.
• Enhances data analysis and information retrieval processes.

Commercial Applications: The technology can be used in industries such as finance, healthcare, marketing, and research for data analysis, pattern recognition, and information extraction.

Prior Art: Readers can explore prior research on regular expressions, pattern recognition, and data analysis to understand the existing knowledge in this field.

Frequently Updated Research: Stay updated on advancements in regular expression-based pattern recognition and data analysis techniques for the latest developments in the field.

Questions about Regular Expression Pattern Recognition: 1. How does the system determine the frequency of occurrences of regex patterns in datasets? 2. What are the potential limitations of using regular expressions for pattern recognition in complex datasets?

Original Abstract Submitted

Various embodiments are directed to a system that utilizes regular expression (regex) to recognize at least portions of characters, words, text, numbers, etc. in a structured or unstructured dataset, any patterns associated therewith, and/or similarities between the determined patterns. In examples, a regex-based pattern recognition platform may receive a dataset and determine whether at least a first regex pattern and a second regex pattern can be identified. The occurrences of the first and second regex patterns and the frequency of those occurrences may reveal something about the dataset itself or any patterns contained therein.