The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 20, 2024

Filed:

Nov. 22, 2021
Applicants:

Yixuan Tong, Beijing, CN;

Yongwei Zhang, Beijing, CN;

Bin Dong, Beijing, CN;

Shanshan Jiang, Beijing, CN;

Jiashi Zhang, Beijing, CN;

Inventors:

Yixuan Tong, Beijing, CN;

Yongwei Zhang, Beijing, CN;

Bin Dong, Beijing, CN;

Shanshan Jiang, Beijing, CN;

Jiashi Zhang, Beijing, CN;

Assignee:

Ricoh Company, Ltd., Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/279 (2020.01); G06F 40/295 (2020.01);
U.S. Cl.
CPC ...
G06F 40/295 (2020.01);
Abstract

A method and an apparatus for sequence labeling on an entity text, and a non-transitory computer-readable recording medium are provided. In the method, a start position of an entity text within a target text is determined. Then, a first matrix is generated based on the start position of the entity text. Elements in the first matrix indicates focusable weights of each word with respect to other words in the target text. Then, a named entity recognition model is generated using the first matrix. The named entity recognition model is obtained by training using first training data, the first training data includes word embeddings corresponding to respective texts in a training text set, and the texts are texts whose entity label has been labeled. Then, the target text is input to the named entity recognition model, and probability distribution of the entity label is output.


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