Cross-lingual Related Events Recognition Methods Based on The Event Central News Sets
- Resource Type
- Conference
- Authors
- Xudong, Hong; Jun, Wang; Jun, Huang
- Source
- 2023 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Chinese Association of Automation (YAC), 2023 38th Youth Academic Annual Conference of. :539-545 Aug, 2023
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Support vector machines
Correlation
Automation
Neural networks
Training data
news event
event elements
related events
cross-lingual
- Language
- ISSN
- 2837-8601
To help the public fully understand the ins and outs of an international or regional major event, we propose two cross-lingual related events recognition methods to acquire more related events in the news on different countries’ internet. Firstly news in different languages that focus on a same event are clustered into a news set. Then two method will be used together to determine whether two events are related. One is explicit related event recognition method which determines that by checking whether there is a description of one event can be found from another event central news set. The other one is implicit related event recognition method which determines that by a SVM classifier with several correlation and similarity features of two events. The experimental results show that the two methods are complementary to each other, and it is practical to use them together.