Sequence labeling method and device, computer equipment and storage medium

A sequence labeling and sequence technology, applied in the field of sequence labeling methods, computer equipment and storage media, and devices, can solve problems such as low accuracy

Active Publication Date: 2020-01-14
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, SCRFs use phrases in natural language instead of single words for feature extraction, resulting in low labeling accuracy when there are many single words

Method used

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

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Embodiment Construction

[0047] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0048] The sequence labeling method provided by this application can be applied to such as figure 1shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. When the server 104 receives the sequence tagging request carrying the sequence to be tagged sent by the terminal 102, it performs vector conversion on each character in the sequence to be tagged to obtain a feature word vector corresponding to the character. The server 104 performs vector conversion on each character in the sequence to be marked to obtain a...

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Abstract

The invention relates to a sequence labeling method and device based on a neural network, computer equipment and a storage medium. The method comprises the steps of performing vector conversion on each character in a to-be-labeled sequence to obtain a corresponding feature word vector; inputting the feature word vectors into a preset sequence annotation neural network to segment words of the to-be-annotated sequence to obtain candidate words and word tags corresponding to the candidate words; and combining the word label with the position of each character in the candidate word to obtain a character label to which the character belongs in the candidate word; calculating a first pairing index of the candidate word based on the weight vector of the character tag to which each character in the candidate word belongs; calculating a second pairing index of the candidate labeling sequence based on the first pairing index corresponding to each group of candidate words; and identifying the candidate labeling sequence corresponding to the second pairing index with the maximum numerical value as the first labeling sequence. By adopting the method, the labeling accuracy can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a sequence labeling method, device, computer equipment and storage medium. Background technique [0002] Sequence annotation is a basic task of natural language processing, that is, to divide the input text and output the sequence string corresponding to the text. Sequence tagging is generally widely used in scenarios such as part-of-speech tagging and nomenclature recognition. The traditional labeling of sequences is usually solved by using semi-Markov conditional random fields (semi-Markov conditional random fields, referred to as SCRFs). However, SCRFs use phrases in natural language instead of single words for feature extraction, resulting in low labeling accuracy when there are many single words. Contents of the invention [0003] Based on this, it is necessary to provide a sequence labeling method, device, computer equipment and storage medium capable of imp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06F40/258
CPCG06F40/258G06F40/295
Inventor 孙超于凤英王健宗韩茂琨
Owner PING AN TECH (SHENZHEN) CO LTD
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