KIDER: Knowledge-Infused Document Embedding Representation for Text Categorization

Yu-Ting Chen, Zheng-Wen Lin, Yung-Chun Chang, Wen-Lian Hsu. KIDER: Knowledge-Infused Document Embedding Representation for Text Categorization. In Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki, editors, Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings. Volume 12144 of Lecture Notes in Computer Science, pages 18-29, Springer, 2020. [doi]

Abstract

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