Patent · US Active

System and method for domain- and language-independent definition extraction using deep neural networks

US11783179B2 · kind B2 · utility

1Cited by

1References

12Claims

0Family size

Assignee

Robert Bosch GmbH · DE

Inventors

Yifan He · Sunnyvale, US
Lin Zhao · Sunnyvale, US
Kui Xu · Sunnyvale, US
Zhe Feng · Shanghai, CN

Key dates

Filing date	Dec 27, 2018
Grant date	Oct 10, 2023
Priority date	—
Expiry date	Sep 9, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06F40/279
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method of automatically generating a terminology definition knowledge base (KB) includes mapping each word in a word sequence to a real value dense vector using dense vector representations. The word sequence is then processed using a Convolutional Neural Network (CNN) model to identify whether the word sequence includes a terminology definition and to label the word sequence with a label indicating whether a terminology definition exists within the word sequence. The word sequence is then processed using a Conditional Random Field (CRF) model to identify boundaries of the terminology definition in the word sequence. The terminology definition is then extracted and added to the terminology definition KB.

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