Abstract
Microblog has provided a convenient and instant platform for information publication and acquisition. Microblog’s short, noisy, real-time features make Chinese Microblog entity linking task a new challenge. In this paper, we investigate the linking approach and introduce the implementation of a Chinese Microblog Entity Linking (CMEL) System. In particular, we first build synonym dictionary and process the special identifier. Then we generate candidate set combining Wikipedia and search engine retrieval results. Finally, we adopt improved VSM to get textual similarity for entity disambiguation. The accuracy of CMEL system is 84.35%, which ranks the second place in NLPCC 2014 Evaluation Entity Linking Task.
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Meng, Z., Yu, D., Xun, E. (2014). Chinese Microblog Entity Linking System Combining Wikipedia and Search Engine Retrieval Results. In: Zong, C., Nie, JY., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2014. Communications in Computer and Information Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45924-9_41
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DOI: https://doi.org/10.1007/978-3-662-45924-9_41
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