Cause-Effect Sentence Analysis for Patent Similarity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods fail to effectively extract and analyze cause-effect sentences from documents to identify similar cause expressions and effect expressions for studying new uses or different technical configurations, leading to inefficiencies in referencing relevant patent documents.
Innovation Solution
A cause-effect sentence analysis device that extracts and analyzes cause-effect sentences by calculating similarity degrees between reference expressions and the sentences, allowing for the extraction of documents with desired conditions, such as similar or dissimilar cause and effect expressions, and prioritizing results based on these similarities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to extract cause-effect sentences, then basic extraction can be achieved, but the ability to identify documents with specific similarity conditions (similar cause but different effect, or similar effect but different cause) is insufficient
Solution Approach 1:
The patent segments the cause-effect sentence into distinct cause expression and effect expression components, allowing independent similarity analysis of each part. This segmentation enables the system to separately evaluate cause similarity and effect similarity, thereby identifying documents that meet specific conditions such as similar cause but different effect, or similar effect but different cause.
Solution Approach 2:
The patent introduces multiple similarity parameters (cause similarity degree and effect similarity degree) to characterize documents. By calculating and comparing these parameters against threshold values, the system can flexibly identify documents under different similarity conditions, enhancing both measurement precision and adaptability.
2Measurement precision
If comprehensive similarity analysis is performed on both cause and effect expressions, then accurate document identification is achieved, but the complexity of the analysis system increases
Solution Approach 1:
The system divides the similarity analysis into two independent segments: cause expression similarity analysis and effect expression similarity analysis. Each segment can be processed separately with its own threshold criteria, reducing the overall complexity while maintaining comprehensive analysis accuracy.
Solution Approach 2:
The patent applies different similarity analysis criteria and threshold values to different parts of the cause-effect sentence (cause part vs. effect part). This local quality approach allows the system to handle each component with appropriate analysis depth, improving accuracy without uniformly increasing system complexity.
Data Source
AI summary
A cause-effect sentence analysis device including: a cause-effect sentence extraction unit configured to extract a cause-effect sentence including a cause expression and an effect expression from a text; an acquisition unit configured to acquire information indicating a reference expression for analyzing the degree of similarity; a similarity degree analysis unit, for a cause-effect sentence extracted by the cause-effect sentence extraction unit, configured to calculate a cause similarity degree, namely, the degree of similarity between the reference expression and the cause expression included in the cause-effect sentence, and an effect similarity degree, namely, the degree of similarity between the reference expression and the effect expression; and a desired cause-effect sentence extraction unit for extracting a cause-effect sentence in which one of the cause expression and the effect expression included in the cause-effect sentence is similar to the reference expression and the other is not similar to the reference expression.