Capital one services, llc (20240346242). SYSTEMS AND METHODS FOR PROACTIVELY EXTRACTING DATA FROM COMPLEX DOCUMENTS simplified abstract
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SYSTEMS AND METHODS FOR PROACTIVELY EXTRACTING DATA FROM COMPLEX DOCUMENTS
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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 20240346242 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 to receive, extract, normalize, and generate data entries from documents.
- System for proactively extracting data from complex documents
- Includes processors, NLP device, trained machine learning device, and memory
- Receives documents from client device and extracts extractable data entries
- Generates normalized data entries and adds completed data entries in place of placeholders in a document template
- Receives natural language prompt from user device and determines machine-readable semantic representation
- Identifies sensitive data entries and generates a graphical user interface displaying completed data entries and confidence intervals
Potential Applications: - Data extraction from legal documents - Automated form filling in administrative tasks - Information retrieval from research papers
Problems Solved: - Streamlining data extraction processes - Enhancing document analysis efficiency - Improving data accuracy and completeness
Benefits: - Time-saving in data extraction tasks - Reduction in manual errors - Enhanced data security through sensitive data identification
Commercial Applications: Title: Automated Data Extraction System for Document Processing This technology can be utilized in industries such as legal, finance, and healthcare for automating data extraction processes, improving document analysis efficiency, and enhancing data accuracy.
Questions about the technology: 1. How does the system differentiate between sensitive and non-sensitive data entries? 2. What measures are in place to ensure the accuracy of the extracted data?
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.
