Information Extraction Method based on Dilated Convolution and Character-Enhanced Word Embedding

• Published in: 2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) pp. 138 - 143
• Main Authors: He, Zhaorong, Luo, Xiaonan, Zhong, Yanru, Jiang, Chaohao, Zhao, Leixian
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2020
• Subjects: character-enhanced word embedding; Chinese natural language processing; Computational modeling; Convolution; Data mining; dilated convolution; Information extraction; Information retrieval; Natural language processing; self-attention; Stability analysis; Task analysis

With the establishment and application of various kinds of knowledge graphs, information extraction has become one of the most important tasks in natural language processing. Due to the complexity of the Chinese language, traditional pipeline and joint extraction methods cannot solve entity confusio...