International business machines corporation (20240289374). GENERATING KEY POINT GRAPHS USING DIRECTIONAL RELATION SCORES simplified abstract
Contents
GENERATING KEY POINT GRAPHS USING DIRECTIONAL RELATION SCORES
Organization Name
international business machines corporation
Inventor(s)
Roy Bar-haim of Ramat Gan (IL)
GENERATING KEY POINT GRAPHS USING DIRECTIONAL RELATION SCORES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240289374 titled 'GENERATING KEY POINT GRAPHS USING DIRECTIONAL RELATION SCORES
Simplified Explanation: The patent application describes a system that uses a processor to analyze input sentences, extract key points, compute directional relation scores between these key points, construct a key point graph, and generate a visualization of the key point graph.
Key Features and Innovation:
- Processor executes key point analysis to extract key points from input sentences.
- Directional relation scores are computed between extracted key points.
- Key point graph is constructed based on key points and directional relation scores.
- Visualization of key point graph is generated.
Potential Applications: This technology could be applied in various fields such as natural language processing, data analysis, and information visualization.
Problems Solved: The system helps in summarizing and visualizing key information from a set of input sentences, making it easier to understand and interpret complex data.
Benefits:
- Efficient extraction of key points from input sentences.
- Clear visualization of relationships between key points.
- Improved understanding of complex information.
Commercial Applications: Potential commercial applications include text summarization tools, data analysis software, and information visualization platforms.
Prior Art: Readers can start searching for prior art related to this technology in the fields of natural language processing, data visualization, and information retrieval.
Frequently Updated Research: Stay updated on the latest advancements in natural language processing, data analysis, and information visualization to enhance the capabilities of this technology.
Questions about Key Point Analysis: 1. How does the system determine the importance of key points extracted from input sentences? 2. What are the potential limitations of the directional relation scores computed by the processor?
Original Abstract Submitted
an example system includes a processor to execute a key point analysis to extract key points from a number of input sentences. the processor can compute directional relation scores between the extracted key points. the processor can construct a key point graph based on the extracted key points and the directional relation scores. the processor can generate a key point graph visualization based on the key point graph.
