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Towards document-level event extraction via Binary Contrastive Generation
We propose a binary contrastive generation method for document-level event extraction.
Guanhua Huang, Zeping Min, Qian Ge, Zhouwang Yang
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Towards document-level event extraction via Binary Contrastive Generation
Unemployment Rate Estimation with Administrative Big Data: Case Study in a City of 4-Million Population
We train a machine learning model to predict an individual’s monthly employment status based on administrative big data in a city with a four million population and estimate the unemployment rate of the city with a national account method.
Guanhua Huang, Zhong Zheng, Yucheng Yang, Lu Yang, Jing Kong, Xiaomin Cheng, Zhouwang Yang
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Unemployment Rate Estimation with Administrative Big Data: Case Study in a City of 4-Million Population