Sequence labeling method, device and equipment and readable storage medium

A sequence labeling and program technology, applied in instruments, electronic digital data processing, computing, etc., can solve problems such as sequence labeling errors, low sequence labeling accuracy, and single dimension of sequence features

Pending Publication Date: 2020-10-02
WEBANK (CHINA)
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  • Claims
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Problems solved by technology

However, only the feature mode of word granularity is considered, resulting in a single dimension of ...

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  • Sequence labeling method, device and equipment and readable storage medium
  • Sequence labeling method, device and equipment and readable storage medium
  • Sequence labeling method, device and equipment and readable storage medium

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[0053] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure, and to fully convey the scope of the present disclosure to those skilled in the art.

[0054] In order to further improve the accuracy of sequence labeling, in the embodiment of the present disclosure, for each word segment contained in the sentence to be recognized, a pre-trained word vector generation model and a preset word vector generation model are respectively used to generate the first word corresponding to each word segment. word vector, the second word vector, and then, based on the pre-trained weight coeffic...

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Abstract

The invention relates to the technical field of natural language processing, in particular to a sequence labeling method, device and equipment and a readable storage medium. The method is used for improving the accuracy of sequence labeling. The method comprises the following steps of: aiming at each segmented word contained in the to-be-identified statement, adopting a pre-trained character vector generation model and a preset word vector generation model to generate a first word vector and a second word vector corresponding to a segmented word are generated respectively, adopting a pre-trained weight coefficient and using the first word vector and the second word vector to generate a third word vector corresponding to the segmented word, and then adopting a pre-trained sequence labelingmodel to generate a sequence labeling result. Therefore, the word vectors are fused by adopting the pre-trained weight coefficient, and the third word vector generated by fusion is used as the input of the sequence labeling model, so that the processing process of sequence labeling is optimized, and the accuracy and the processing efficiency of sequence labeling are improved.

Description

technical field [0001] The present disclosure relates to the technical field of natural language processing, and in particular to a sequence labeling method, device, equipment and readable storage medium. Background technique [0002] Sequence tagging is a basic and important problem in natural language processing. It covers a wide range and can be used to solve a series of character classification problems, such as word segmentation, part-of-speech tagging, named entity recognition, relationship extraction, etc. [0003] At present, when performing sequence labeling, the feature method of word granularity is usually used for sequence labeling. However, only considering the feature mode of word granularity leads to a single dimension of sequence features, which leads to errors in sequence labeling, resulting in low accuracy of sequence labeling. [0004] It can be seen that a new solution needs to be designed to overcome the above-mentioned defects. Contents of the invent...

Claims

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Application Information

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IPC IPC(8): G06F40/289G06F40/284G06F40/205G06F40/117
CPCG06F40/117G06F40/205G06F40/284G06F40/289
Inventor 周楠楠汤耀华杨海军徐倩
Owner WEBANK (CHINA)
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