Dynamic Patent Document Generation via NLP Claim Segmentation
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Solution Overview
Problem
Existing systems for generating formal documents, such as patent applications, are limited in their ability to rearrange and refine claim segments, leading to incomplete and inaccurate outputs due to their inability to disambiguate phrase meanings and represent complex relationships, resulting in insufficiently detailed and structured documents.
Innovation Solution
A dynamic user interface and improved natural language processing (NLP) analysis method that allows for the segmentation and reorganization of claim segments, enabling users to input additional context and disambiguate terms, thereby generating more comprehensive and accurate document drafts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing NLP systems process claim text automatically, then document generation speed is improved, but the accuracy and completeness of the generated document deteriorates due to inability to disambiguate phrase meanings
Solution Approach 1:
The patent introduces an intermediary human reviewer who acts as a mediator between the automated NLP system and the final document. The NLP system processes claims to generate initial document drafts, but a human reviewer then reviews and disambiguates phrase meanings, ensuring accuracy while maintaining the efficiency benefits of automated processing.
Solution Approach 2:
The patent segments the document generation process into distinct phases: automated NLP processing of claims, human review of generated content, and iterative refinement. This segmentation allows each component to specialize - the NLP system handles speed-intensive tasks while human reviewers focus on accuracy-critical disambiguation.
2Ease of operation
If existing systems generate documents using generic templates, then ease of operation is improved, but the adaptability to specific client requirements and complex relationships deteriorates
Solution Approach 1:
The patent implements a dynamic document generation system that adapts to client-specific requirements. Rather than using fixed generic templates, the system dynamically adjusts the generated document based on the specific claims provided and client preferences, allowing flexibility while maintaining ease of operation through automated adaptation.
Solution Approach 2:
The patent applies local quality by allowing different sections of the generated document to have different levels of customization. Generic templates provide the overall structure for ease of operation, while specific sections can be tailored to client requirements and complex relationships identified in the claims.
3Loss of time
If existing NLP systems process claims in a single pass, then processing time is reduced, but the ability to represent complex relationships and rearrange claim segments deteriorates
Solution Approach 1:
The patent implements periodic action through multi-pass processing of the claims. The NLP system processes claims in multiple iterations, with each pass focusing on different aspects such as initial extraction, relationship identification, and refinement. This periodic processing maintains reasonable time efficiency while progressively building a comprehensive representation of complex relationships.
Solution Approach 2:
The patent applies preliminary action by performing initial claim segmentation and relationship identification in early processing passes, preparing the data structure for more complex analysis in subsequent passes. This preliminary organization of information enables efficient handling of complex relationships without requiring excessive processing time in later stages.
Data Source
AI summary
An NLP analysis method based on identification of common terms is disclosed. The improved NLP analysis can separate different parts of a patent claim into discrete claim segments based on the common terms. A user interface that corresponds to a flowchart allows the user to drag and drop the claim segments to form complex relationships, which is used to generate a patent specification.