Training method and training device of statement entity labeling model and electronic equipment

A technology for labeling models and training methods, which is applied in the fields of digital data processing, natural language data processing, and special data processing applications. It can solve problems such as irregular grammar sentences, low accuracy of results, and poor model generalization effects.

Pending Publication Date: 2020-05-01
上海风秩科技有限公司
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  • Abstract
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  • Claims
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Problems solved by technology

[0003] At present, when the existing sentence entity recognition methods are applied to Chinese sentence labeling, they are usually affected by noise such as irregular grammar sentences, new wo...

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  • Training method and training device of statement entity labeling model and electronic equipment
  • Training method and training device of statement entity labeling model and electronic equipment
  • Training method and training device of statement entity labeling model and electronic equipment

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Embodiment Construction

[0063] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, every other embodiment obtained by those skilled in the art withou...

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Abstract

The invention provides a statement entity labeling model training method and device and electronic equipment. The method comprises the steps: carrying out the word vector processing of sample statements in a plurality of obtained sample texts, and obtaining a plurality of sample matrixes; attention weighting processing is carried out on each sample matrix, and a plurality of processed sample weighting representation matrixes are determined; determining an auxiliary weighted representation matrix corresponding to each sample weighted representation matrix by training a constructed auxiliary classification model; and training a pre-constructed conditional random field model by taking the plurality of auxiliary weighted representation matrixes as input features and taking the obtained samplestatement label corresponding to each sample statement as an output feature to obtain a statement entity labeling model. Therefore, the labeling precision of the model in the use process can be further improved, the noise interference can be reduced, the entity can be accurately labeled, and the generalization ability of the model is improved.

Description

technical field [0001] The present application relates to the technical field of computer natural language processing, in particular to a training method, training device and electronic equipment for a sentence entity tagging model. Background technique [0002] Sentence entity recognition is a key task in natural language processing. The purpose is to identify specific types of thing names and meaningful quantitative phrases in sentences, including three categories of named entities, time, and numbers, which can be subdivided into seven categories. A subcategory: person name, place name, organization name, time, date, currency, percentage, etc. [0003] At present, when the existing sentence entity recognition methods are applied to Chinese sentence labeling, they are usually affected by noise such as irregular grammar sentences, new words / wrong words, cyberspeak / expressions, etc., which makes the accuracy of the labeling results low and the accuracy of the model If the de...

Claims

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Application Information

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IPC IPC(8): G06F40/295G06F40/211G06F16/33G06F16/35
CPCG06F16/3344G06F16/35Y02D10/00
Inventor 王千梁新敏陈羲
Owner 上海风秩科技有限公司
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