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Chinese word sense disambiguation method based on recurrent neural network

A technology of recurrent neural network and word sense disambiguation, which is applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as the poor training effect of classifiers, and achieve avoiding gradient dispersion problems, good classification effects, Solve the effect of multi-category data processing

Inactive Publication Date: 2020-01-17
HARBIN UNIV OF SCI & TECH
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Problems solved by technology

However, there are some shortcomings and deficiencies in the traditional algorithm
The extracted disambiguation features are only limited to local areas, and the training effect of the classifier is not very good

Method used

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  • Chinese word sense disambiguation method based on recurrent neural network
  • Chinese word sense disambiguation method based on recurrent neural network
  • Chinese word sense disambiguation method based on recurrent neural network

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Embodiment Construction

[0057]In order to clearly and completely describe the technical solutions in the embodiments of the present invention, the present invention will be further described in detail below in conjunction with the drawings in the embodiments.

[0058] Take the disambiguation of the ambiguous word "son and daughter" in the Chinese sentence "The excellent traditional culture jointly created by the sons and daughters of all ethnic groups in China has always been an important basis for maintaining the spiritual bond of all Chinese people and achieving peaceful reunification" as an example.

[0059] The embodiment of the present invention is based on the flow chart of the Chinese sentence meaning disambiguation method of recurrent neural network, as figure 1 shown, including the following steps.

[0060] The extraction process of step 1 disambiguation feature is as follows:

[0061] Chinese sentence: The excellent traditional culture jointly created by the sons and daughters of all ethni...

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Abstract

The invention relates to a Chinese word sense disambiguation method based on a Recurrent Neural Network (RNN). The method comprises the following steps: firstly, preprocessing corpora; in the step, performing word segmentation and feature labeling processing on sentences containing ambiguous vocabularies in the training expectation and the test expectation; the processed training expectation beingused for training the RNN model, and the purpose being to optimize the model; and disambiguating the test expectation by using the optimized RNN model to obtain a probability distribution vector of the ambiguous vocabulary under each semantic category. In the vector, the semantic class corresponding to the maximum value is judged as the semantic class of the ambiguous vocabulary. The method has agood word sense disambiguation effect, and the meaning of ambiguous vocabularies can be better judged.

Description

Technical field: [0001] The invention relates to a Chinese word meaning disambiguation method based on a cyclic neural network, which can be well applied in the field of natural language processing. Background technique: [0002] Chinese contains many words with multiple meanings. The purpose of word sense disambiguation is to determine the correct meaning of these ambiguous words according to different contexts. The problem of word sense disambiguation occupies an important position in the field of autologous language processing. At the same time, it is also the core step of machine translation. Therefore, it is very important to choose a word sense disambiguation classifier, and its performance is closely related to the effect of word sense disambiguation. At present, some common algorithms are often used to disambiguate and classify vocabulary, such as: k-means, naive Bayesian, classification methods based on association rules, and artificial neural networks. However,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/284G06F40/30G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 周雪松赵凌云其他发明人请求不公开姓名
Owner HARBIN UNIV OF SCI & TECH
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