Abstract
With the rapid development of information technology, the amount of information is increasing exponentially. All kinds of text data are growing explosively. How to understand the meaning of these data quickly and accurately becomes extremely difficult and challenging. Entity linking is proposed for solving the above problem over all kinds of unstructured data. Entity linking is to link the mentions ( also called entity references) in a given text to the correct Wikipedia page without ambiguity. In this paper, we summarize the methods of entity embedding and the realization of each step of entity link in the application of machine learning.
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Du, J., Ning, B. (2021). A Survey on the Entity Linking in Knowledge Graph. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_233
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DOI: https://doi.org/10.1007/978-981-15-8411-4_233
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