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| Key Technologies of Event Base Construction and Event Detection in the Field of Science and Technology |
| Liu Yao1, Fang Xiaowei2, Qin Xun2 |
1.Institute of Scientific and Technical Information of China, Beijing 100038
2.School of Software & Microelectronics, Peking University, Beijing 100091 |
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Abstract This study proposes a method to construct a risk event base and event detection model in the field of science and technology. By analyzing the text features of online news source data, the meta-event resource database and theme-event regenerated resource database models are constructed using crawled news in the field of science and technology, and a comprehensive evaluation model is proposed for event detection. For event detection, this study proposes a two-branch transformer model for risk events, which extracts lexical features related to risk degree from risk events and reduces the interference caused by text domain features to risk event classification, in order to identify risk events. The experimental results show that the proposed risk event detection model and the index for judging the risk propensity of meta-events are effective. This study can provide a reference for risk event base construction in the field of science and technology, and the proposed language model can provide a methodological and technical reference for the study of risk event detection.
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Received: 01 April 2021
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