Canon kabushiki kaisha (20240193369). INFORMATION PROCESSING APPARATUS, CONTROL METHOD OF INFORMATION PROCESSING APPARATUS, AND STORAGE MEDIUM simplified abstract
INFORMATION PROCESSING APPARATUS, CONTROL METHOD OF INFORMATION PROCESSING APPARATUS, AND STORAGE MEDIUM
Organization Name
Inventor(s)
SHIMPEI Fujisaki of Tokyo (JP)
INFORMATION PROCESSING APPARATUS, CONTROL METHOD OF INFORMATION PROCESSING APPARATUS, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193369 titled 'INFORMATION PROCESSING APPARATUS, CONTROL METHOD OF INFORMATION PROCESSING APPARATUS, AND STORAGE MEDIUM
The information processing apparatus described in the patent application includes an extraction unit that extracts named entities from document data using a named entity recognition model. Additionally, there is a display control unit that displays the extracted named entities on a user interface screen. If multiple named entities extracted are related to a generic concept and a specific concept, the display control unit groups and displays them together.
- Named entity extraction using a recognition model
- Display of extracted named entities on a user interface screen
- Grouping and display of named entities related to generic and specific concepts
Potential Applications: This technology could be used in various industries such as information retrieval, document analysis, and natural language processing.
Problems Solved: This technology streamlines the process of extracting and displaying named entities from document data, making it easier for users to identify and understand the relationships between different entities.
Benefits: Improved efficiency in information processing Enhanced user experience in data analysis Facilitates better understanding of relationships between entities
Commercial Applications: This technology could be valuable for companies in the fields of data analytics, content management, and information retrieval systems.
Prior Art: Researchers can explore prior art related to named entity recognition models, information extraction techniques, and user interface design in the context of data processing technologies.
Frequently Updated Research: Stay updated on advancements in named entity recognition models, document analysis algorithms, and user interface technologies to enhance the capabilities of this information processing apparatus.
Questions about Named Entity Extraction:
1. How does the extraction unit identify and extract named entities from document data? The extraction unit uses a named entity recognition model to analyze the document data and identify specific entities based on predefined categories.
2. What is the significance of grouping named entities related to generic and specific concepts? Grouping named entities in this manner helps users understand the context and relationships between different entities, enhancing the overall comprehension of the information presented.
Original Abstract Submitted
the information processing apparatus includes: an extraction unit configured to extract a named entity by inputting document data to a named entity recognition model; and a display control unit configured to display a named entity extracted by the extraction unit on a ui screen, and in a case where a plurality of named entities extracted by the extraction unit is in a relationship between a generic concept and a specific concept, the display control unit displays the plurality of the named entities in one group.
