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:
Sep. 01, 2020

Filed:

Aug. 03, 2018
Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Yichuan Liang, Beijing, CN;

Guang Ling, Beijing, CN;

Yingzhan Lin, Beijing, CN;

Wenmin Wang, Beijing, CN;

Zeying Xie, Beijing, CN;

Yin Zhang, Beijing, CN;

Wei Xu, Beijing, CN;

Chao Zhou, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); G10L 15/22 (2006.01); G10L 15/193 (2013.01); G10L 15/06 (2013.01); G06F 3/16 (2006.01); G06F 16/00 (2019.01); G06F 40/284 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G06F 3/167 (2013.01); G06F 16/00 (2019.01); G06F 40/284 (2020.01); G10L 15/063 (2013.01); G10L 15/193 (2013.01); G06N 20/00 (2019.01); G10L 2015/0633 (2013.01); G10L 2015/223 (2013.01); G10L 2015/228 (2013.01);
Abstract

Embodiments of the present disclosure disclose an artificial intelligence based method and apparatus for classifying a voice-recognized text. A specific embodiment of the method includes: acquiring a current interactive text of a voice query from a user; analyzing the current interactive text using a lexical analyzer to obtain a current lexical structure; determining whether the current lexical structure matches a template of a category in a classifier; and classifying, if the current lexical structure matches the template of the category in the classifier, the current interactive text corresponding to the current lexical structure into the category belonging to the matched template. The embodiment can fast classify texts, effectively reduce the magnitude of manually annotated texts, and improve the annotation efficiency in intelligent voice interaction services.


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