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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

Inactive Publication Date: 2019-10-25
KUNMING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, most of the research on event detection is carried out in Chinese and English environments. Since Vietnamese is a language with scarce resources, no one has been involved in event detection for Vietnamese.

Method used

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

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Embodiment 1

[0043] Embodiment 1: as Figure 1-3 As shown, the Vietnamese news event detection method of fusion dependent syntactic information and convolutional neural network, the specific steps of the detection method are as follows:

[0044] Step1. Corpus collection: Use Scrapy as a crawling tool to crawl the following news websites: Vietnam News Agency http: / / www.vnagency.com.vn, Vietnam National English Newspaper http: / / vietnamnews.vnagency.com.vn, Vietnam Telecommunications Network http: / / www.vnn.vn, Vietnam Economic Times http: / / www.vneconomy.com.vn; collect news texts for event detection in Vietnamese, and deduplicate and filter news texts;

[0045] As a preferred solution of the present invention, in the step Step1, use Scrapy as a crawling tool, imitate user operations, customize different templates for Vietnamese news websites, formulate templates to obtain detailed data according to the XPath path of page data elements, and obtain such as news Title, news time, news text.

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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.

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

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F16/951G06F17/27
CPCG06F16/35G06F16/951G06F40/211G06F40/295G06F40/30
Inventor 余正涛刘畅高盛祥张亚飞王吉地王振晗郭军军
Owner KUNMING UNIV OF SCI & TECH
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