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Method of searching patent documents

A patented and documented technology, applied in the field of natural language processing, can solve limited problems, achieve accurate retrieval, shorten the duration of retrieval, and shorten the development and learning cycle

Pending Publication Date: 2021-07-23
IPRALLY TECH OY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, they are relatively limited in, for example, patent novelty searches, because in practice their ability to assess novelty—that is, to find documents that disclose specific content that falls under the general concept defined in the patent claims— is limited

Method used

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  • Method of searching patent documents
  • Method of searching patent documents
  • Method of searching patent documents

Examples

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Embodiment Construction

[0034] definition

[0035] A "natural language unit" in this context refers to a chunk of text, or after embedding, a vector representation of a chunk of text. The chunks may be single words or multi-word subconcepts that occur one or more times in the original text stored in computer readable form. The natural language unit may be represented as a set of character values ​​(commonly referred to in computer science as a "string"), or numerically as a multidimensional vector value, or a reference to such a value.

[0036] A "natural language chunk" refers to a data instance comprising a linguistically meaningful combination of natural language units, such as one or more complete or incomplete sentences of a language such as English. The natural language chunks may be represented, for example, as a single character string and stored in a file in a file system and / or displayed to a user via a user interface.

[0037] "Document" means a machine-readable entity containing natur...

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Abstract

A method of searching patent documents comprising reading a plurality of patent documents each comprising a specification and a converted into specification graphs and claim graphs. The graphs contain nodes each having a first natural language unit extracted from the specification or claim as a node value, and edges between the nodes determined based on at least one second natural language unit extracted from the specification or claim. A machine learning model is trained using an algorithm capable of travelling through the graphs according to the edges and utilizing said node values for forming a trained machine learning model. The method comprises reading a fresh graph and utilizing the trained machine learning model for determining a subset of patent documents.

Description

technical field [0001] The present invention relates to natural language processing. In particular, the present invention relates to machine learning-based, such as neural network-based, systems and methods for retrieving, comparing or analyzing documents containing natural language. Said documentation may be technical documentation or scientific documentation. In particular, said document may be a patent document. Background technique [0002] Written comparisons of technical concepts are required in many areas of business, industry, economics, and culture. A specific example is the examination of patent applications, where one purpose is to determine whether a technical concept defined in the claims of a patent application semantically covers another technical concept defined in another document. [0003] Currently, a growing number of retrieval tools exist that can be used to find individual documents, but the analysis and comparison of concepts exposed by documents is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/205G06F40/279G06N20/00G06N3/08
CPCG06F40/205G06F40/279G06N3/08G06N20/00G06N5/01G06N7/01G06N3/044G06F16/2465G06F16/3344G06F16/36G06F40/20G06N5/02G06V30/40G06F16/245G06N3/04
Inventor S·阿维拉J·卡利奥S·比约克维斯特
Owner IPRALLY TECH OY