Recognition method of temporal relationship of Chinese-Vietnamese news events based on two-way cross-attention mechanism

Abstract

The invention relates to a method for recognizing temporal relationship of Chinese-Vietnamese news events based on a two-way cross-attention mechanism, and belongs to the technical field of natural language processing. The invention utilizes bidirectional recurrent neural network to capture sentence semantic information, enhances trigger word semantic information in event semantic information through attention mechanism, obtains temporal logic semantic information through cross-attention mechanism, embeds three parts of semantic information into event code, and finally The fusion of event coding and rule features between events is input to the classification layer, and the temporal relationship of events is output, so as to realize the identification of temporal relationship between events. The present invention requires a lot of manpower to design templates based on the time axis at present, and it is difficult to obtain the implicit semantic information in the sentence, and it is difficult to express different language texts in the same feature space, and solves the problem of obtaining cross-language news events The timing relationship is a more difficult problem.

Description

technical field [0001] The invention relates to a method for recognizing temporal relationship of Chinese-Vietnamese news events based on a two-way cross-attention mechanism, and belongs to the technical field of natural language processing. Background technique [0002] Recognition of temporal relationship between events is a hot topic in current natural language processing research. At present, the recognition of event temporal relationship requires a lot of manpower to design timeline-based templates. It is difficult to obtain the implicit semantic information in sentences, and it is difficult to represent different language texts in the same feature space. It is difficult to obtain the temporal relationship of cross-language news events. Therefore, it is of great significance to use artificial intelligence technology to automatically determine the temporal relationship between Chinese and Vietnamese bilingual news events. Contents of the invention [0003] The present...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a Chinese-Vietnamese news event temporal relationship recognition method based on a two-way cross-attention mechanism, which is used to solve the current event temporal relationship recognition that requires a large amount of manpower to design a template based on the time axis, and the implicit semantic information in the sentence is difficult to obtain, and It is difficult to represent texts in different languages ​​in the same feature space, and it solves the problem of obtaining the time series relationship of cross-language news events.

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