Abstract
The Infoboxes in encyclopedia articles contain the structured factoid knowledge and have been the most important source for open domain knowledge base construction. However, if the hyperlink is missing in the Infobox, the semantic relatedness cannot be created. In this paper, we propose an effective model and summarize the most possible features for the infobox entity linking problem. Empirical studies confirm the superiority of our proposed model.
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Acknowledgments
This work is supported partly by China 973 program (No.2015CB358700), by the National Natural Science Foundation of China (No. 61772059, 61421003). This paper is also supported by the State Key Laboratory of Software Development Environment of China and Beijing Advanced Innovation Center for Big Data and Brain Computing.
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Li, X., Yang, J., Zhang, R., Ma, H. (2019). A Novel Approach on Entity Linking for Encyclopedia Infoboxes. In: Zhao, J., Harmelen, F., Tang, J., Han, X., Wang, Q., Li, X. (eds) Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding. CCKS 2018. Communications in Computer and Information Science, vol 957. Springer, Singapore. https://doi.org/10.1007/978-981-13-3146-6_9
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