International business machines corporation (20240096124). PRE-PROCESSING A TABLE IN A DOCUMENT FOR NATURAL LANGUAGE PROCESSING simplified abstract

PRE-PROCESSING A TABLE IN A DOCUMENT FOR NATURAL LANGUAGE PROCESSING

Organization Name

international business machines corporation

Inventor(s)

Scott Carrier of New Hill NC (US)

Ritwik Ray of Apex NC (US)

Jonathan Chapin Rand of Ann Arbor MI (US)

Jothilakshmi Sirangimoorthy of Canton MI (US)

Hui Wang of Ann Arbor MI (US)

Robert Fredenburg of Kalamazoo MI (US)

PRE-PROCESSING A TABLE IN A DOCUMENT FOR NATURAL LANGUAGE PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240096124 titled 'PRE-PROCESSING A TABLE IN A DOCUMENT FOR NATURAL LANGUAGE PROCESSING

Simplified Explanation

The patent application describes a computer program product, system, and method for pre-processing a table in a document for natural language processing (NLP) using a graphical user interface (GUI).

• The GUI displays table items, including a main element (entity to be extracted), a conditional element (refining the entity), and a value element (value for the entity).
• Users can select elements from the table to be the main, conditional, and value elements using graphical controls in the GUI.
• The selected elements are updated to form a modified set, which is then provided to an NLP engine for natural language processing.

Potential Applications

This technology could be applied in data extraction, information retrieval, and text analysis tasks.

Problems Solved

This technology streamlines the process of extracting and processing information from tables in documents, improving efficiency and accuracy in NLP tasks.

Benefits

The system simplifies the pre-processing of tables for NLP, making it easier for users to extract relevant information and perform text analysis.

Potential Commercial Applications

Potential commercial applications include data mining software, document management systems, and information extraction tools.

Possible Prior Art

One possible prior art could be systems or methods for extracting information from tables in documents using NLP techniques.

How does this technology handle tables with complex structures or multiple entities to extract?

The patent application does not provide details on how the system handles tables with complex structures or multiple entities to extract. Further information on the scalability and adaptability of the system would be helpful in understanding its capabilities in handling diverse table formats.

What kind of performance metrics or benchmarks have been used to evaluate the effectiveness of the system in NLP tasks?

The patent application does not mention any specific performance metrics or benchmarks used to evaluate the system's effectiveness in NLP tasks. Providing information on the system's accuracy, speed, and scalability would be valuable for potential users looking to implement this technology.

Original Abstract Submitted

provided are a computer program product, system, and method for pre-processing a table in a document for natural language processing (nlp). a graphical user interface (gui) provides a representation of table items in a table in a document including a set of a main element comprising an entity whose value is to be extracted, a conditional element that refines the entity, and a value element comprising a value for the entity. graphical controls are rendered in the gui to enable a user to select an element from the table to be the main element, conditional element, and value element. the set of the main element, conditional element, and value element are updated with the user selected element to form a modified set. the modified set of the main element, conditional element, and the value element are provided to an nlp engine to perform natural language processing.