PATENT CLAIM ANALYSIS

Application Number: 15869861
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["715", "249000"]

Abstract:
A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.

Claim (Index 1):
A method for generating an appendix from document content comprising:\n executing a zoning and structural analysis phase, wherein the zoning and structural analysis phase comprises program instructions to identify a document structure, and program instructions to store the identified document structure; in response to completing the zoning and structural analysis phase, executing a semantic relationship extraction phase, wherein the semantic relationship extraction phase comprises program instructions to extract semantic relationships from the stored identified document structure, and program instructions to store the extracted semantic relationships, and wherein the semantic relationship extraction phase further comprises:\n extracting a semantic relationship from each stored identified sentence, wherein the semantic relationship comprises a subject, a predicate, and an object; \n responsive to extracting and identifying the semantic relationship, applying statistical distribution analysis to record a position where the subject and the object appear in the document; \n identifying and eliminating a trivial relation, wherein the trivial relation does not relate to a main topic of the document and based on the trivial relation having at least one of:\n the subject being evenly distributed within a section of the document, wherein a section is selected from a group consisting of a sentence, a paragraph, a page, a chapter, and the document as a whole; and \n the object being evenly distributed within the section of the document; and \n \n storing a non-trivial relation in persistent storage; \n in response to completing the semantic relationship extraction phase, executing an analytics and relevance determination phase wherein the analytics and relevance determination phase comprises program instructions to identify candidate appendix topics in the stored extracted semantic relationships based on a degree of interdependency between the semantic relationships and program instructions to store the identified candidate appendix topics; in response to completing the analytics and relevance determination phase, executing a web mining phase wherein the web mining phase comprises program instructions to calculate a measure of relevance of the mined web page to the stored candidate appendix topics and eliminate non-relevant intermediate results; and based on the web mining phase returning results relevant to a topic of the document, generating the appendix.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 2.4
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14101739', '14474353', '13607639', '13829472', '13459540']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3305590153485972
- 35 USC 102 Novelty (BERT): 0.5466264258781759
- Combined Prediction Score: 0.3521657564015551
- Mean Citation Score: 275.374854
- Max Citation Score: 418.79178
- Similarity Product: 373.9858051034403

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test