Patent · US Active

Hierarchical entity recognition and semantic modeling framework for information extraction

US11537797B2 · kind B2 · utility

0Cited by

3References

20Claims

0Family size

Assignee

KONINIKLIJKE PHILIPS N.V. · NL

Inventors

Yiyi Hu · Suzhou, CN
En Ouyang · Shanghai, CN
Zuofeng Li · 安丰镇, CN

Key dates

Filing date	Dec 24, 2018
Grant date	Dec 27, 2022
Priority date	—
Expiry date	Jul 15, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Extracting entities from a document with a hierarchical entity graph of entities. Entity definitions and entity recognition definitions are customized by a user and provided. The configuration information is utilized to generate (905) an entity graph, which is then utilized to parse one or more documents. In some implementations, the resulting parse tree may be utilized, in conjunction with user feedback, to generate one or more training instances for a machine learning model assigned to one or more of the custom nodes as an entity recognition definition. Parsing of the resulting tree may be performed with a lazy parsing methodology, with only the portions of interest to the user being identified in the document.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.