Vietnamese news event detection method fusing dependency syntax information and convolutional neural network

A convolutional neural network, event detection technology, applied in the field of Vietnamese news event detection, can solve problems such as no one involved
CN110377738AInactive Publication Date: 2019-10-25KUNMING UNIV OF SCI & TECH
2 Cites 25 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
KUNMING UNIV OF SCI & TECH
Publication Date
2019-10-25
Estimated Expiration
Not applicable Β· inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to a Vietnamese news event detection method fusing dependency syntax information and a convolutional neural network, and belongs to the technical field of natural language processing. The method comprises the following steps: firstly, collecting a Chinese-Vietnamese bilingual news text, and setting an event type and a labeling system for event detection according to the characteristics of an event to form training data; and then fusing a convolutional neural network depending on syntax information, and detecting a sentence-level Vietnamese news event. Firstly, word meaning, position information, part-of-speech information and named entity information are fused in the encoding process. Secondly, two parts of features as event codes are fused by utilizing features between consecutive words of traditional convolutional coding and features between consecutive words of convolutional coding fused with dependency syntax information, so as to realize news event detection.The method has a good effect in news event detection.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to a method for detecting news events in Vietnamese that fuses dependent syntax information and a convolutional neural network, and belongs to the technical field of natural language processing. Background technique

[0002] Event detection is an important information extraction task in natural language processing, which aims to identify specified types of events in text. At present, most of the research on event detection is carried out in Chinese and English environments. Since Vietnamese is a resource-scarce language, no one has been involved in event detection for Vietnamese. Therefore, the use of artificial intelligence technology to automatically detect news events in Vietnamese news texts has become one of the difficulties and key technologies of the task.

[0003] The current event detection tasks are mainly based on the following two types of methods. (1) Machine learning methods. Zhang Xuan and others proposed an even...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More