公开(公告)号：US10650096B2

公开(公告)日：2020-05-12

申请号：US15934410

申请日：2018-03-23

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Liqun Zheng ,  Jinbo Zhan ,  Qiugen Xiao ,  Zhihong Fu ,  Jingzhou He ,  Guyue Zhou

IPC: G06F17/27 ,  G06F17/28

Abstract: Embodiments of the present disclosure disclose a word segmentation method based on artificial intelligence, a server and a storage medium. The word segmentation method may include: acquiring a corpus to be segmented and a segmentation model corresponding to a preset segmentation template; matching the corpus to be segmented with the segmentation model according to a preset matching algorithm, and acquiring a target phrase satisfying a first preset rule in the corpus to be segmented; modifying an emission matrix corresponding to the segmentation model and the corpus to be segmented according to the target phrase; and performing a word segmentation on the corpus to be segmented according to the emission matrix modified, to acquire a first segmentation result.

公开(公告)号：US10664659B2

公开(公告)日：2020-05-26

申请号：US15934496

申请日：2018-03-23

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Liqun Zheng ,  Jinbo Zhan ,  Qiugen Xiao ,  Zhihong Fu ,  Jingzhou He ,  Guyue Zhou

IPC: G06F40/284 ,  G06N3/08 ,  G06N3/04 ,  G06F40/242

Abstract: Embodiments of the present disclosure disclose a method for modifying a segmentation model based on artificial intelligence, a device and a storage medium. The method may include: acquiring a model parameter of the segmentation model, and performing a training on a feature vector corresponding to a preset generalized feature of a first training corpus via a neural network so as to acquire a model parameter of the preset generalized feature; performing a word segmentation on the first training corpus according to the model parameter of the segmentation model and the model parameter of the preset generalized feature, so as to acquire a segmentation result; and comparing the segmentation result with the first training corpus according to a preset rule, and modifying the model parameter of the segmentation model and a parameter of the neural network according to a comparison result.

公开(公告)号：US20180365227A1

公开(公告)日：2018-12-20

申请号：US15941065

申请日：2018-03-30

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Liqun Zheng ,  Jinbo Zhan ,  Qiugen Xiao ,  Zhihong Fu ,  Jingzhou He ,  Guyue Zhou

IPC: G06F17/27

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for customizing a word segmentation model based on artificial intelligence, a device and a medium. The method includes the followings. A customized segmentation training corpus is acquired. A first preset word segmentation model is rectified with an increment training method or a weight intervention method, based on the customized segmentation training corpus, to obtain a customized word segmentation model corresponding to the customized segmentation training corpus.