18752949. SYSTEMS AND METHODS FOR PROACTIVELY EXTRACTING DATA FROM COMPLEX DOCUMENTS simplified abstract (Capital One Services, LLC)
Contents
SYSTEMS AND METHODS FOR PROACTIVELY EXTRACTING DATA FROM COMPLEX DOCUMENTS
Organization Name
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SYSTEMS AND METHODS FOR PROACTIVELY EXTRACTING DATA FROM COMPLEX DOCUMENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18752949 titled 'SYSTEMS AND METHODS FOR PROACTIVELY EXTRACTING DATA FROM COMPLEX DOCUMENTS
The abstract describes a system for proactively extracting data from complex documents using processors, NLP devices, machine learning devices, and memory. The system receives documents, extracts data entries, generates normalized data entries, and replaces placeholders in a document template. It can also receive natural language prompts, identify sensitive data entries, and display completed data entries with confidence intervals.
- System for proactively extracting data from complex documents
- Utilizes processors, NLP devices, machine learning devices, and memory
- Receives documents, extracts data entries, generates normalized data entries, and replaces placeholders in document templates
- Can receive natural language prompts and identify sensitive data entries
- Displays completed data entries with associated confidence intervals
Potential Applications: - Data extraction from legal documents - Automated form filling in various industries - Enhancing document search and retrieval processes
Problems Solved: - Streamlining data extraction from complex documents - Improving efficiency in processing large volumes of information - Enhancing accuracy in data entry tasks
Benefits: - Time-saving in data extraction processes - Reduction in manual data entry errors - Improved data organization and retrieval
Commercial Applications: Title: "Efficient Data Extraction System for Document Processing" This technology can be applied in legal firms, financial institutions, healthcare organizations, and government agencies for automating data extraction tasks, improving workflow efficiency, and ensuring data accuracy.
Questions about the technology: 1. How does the system handle sensitive data during the extraction process? 2. What measures are in place to ensure the accuracy of the extracted data entries?
Original Abstract Submitted
A system for proactively extracting data from complex documents is disclosed. The system may include one or more processors, an NLP device, a trained machine learning device, and a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to, receive one or more documents from a client device, extract one or more extractable data entries from the one or more data entries, generate, one or more normalized data entries, and proactively generate and add one or more completed data entries in place of one or more placeholders in a first document template. The system may receive a natural language prompt from a user device and determine a machine-readable semantic representation. The system may identify sensitive data entries and generate a graphical user interface identifying completed data entries and associated confidence intervals.
