Open Information Extraction for Waste Incineration NIMBY based on Bert Network in China

Abstract

Unstructured data makes it difficult to build the emergency knowledge base. Information extraction can help people get structured information faster and more accurately. In this paper, a method of information extraction based on Bert neural network is proposed, which can extract information from the Chinese open text of Waste Incineration NIMBY. It provides a scientific scheme for the construction of a structured knowledge base of Waste Incineration NIMBY, so as to provide auxiliary decision-making for solving the conflict of Waste Incineration NIMBY. Experiments show that the precision rate, recall rate and F-value of the information extraction can reach 91% by using the Bert network, which basically meets the requirements of building a structured knowledge base of Waste Incineration NIMBY.