Patent · US Active

Method and system for joint named entity recognition and relation extraction using convolutional neural network

US11574122B2 · kind B2 · utility

0Cited by

0References

19Claims

0Family size

Assignee

SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION · CN

Inventors

Feng Gao · Beijing, CN
Changsheng Liu · State College, US
Yue Pan · Lo Wu, CN
Youbing Yin · Kenmore, US
Kunlin Cao · Kenmore, US
Qi Song · Beijing, CN

Key dates

Filing date	Aug 19, 2019
Grant date	Feb 7, 2023
Priority date	—
Expiry date	May 10, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N7/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Embodiments of the disclosure provide systems and methods for processing unstructured texts in a medical record. A disclosed system includes at least one processor configured to determine a plurality of word representations of an unstructured text and tag entities in the unstructured text by performing a named entity recognition task on the plurality of word representations. The at least one processor is further configured to determine position embeddings based on positions of words in the unstructured text relative to positions of the tagged entities and concatenate the plurality of word representations with the position embeddings. The at least one processor is also configured to determine relation labels between pairs of tagged entities by performing a relationship extraction task on the concatenated word representations and position embeddings.

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