Abstract
Semantic analysis microblog data is a challenging, emerging research area. Unlike news text, microblogs pose several new challenges, due to their short, noisy, contextualized and real-time nature. In this paper, we investigate how to link entities in microblog posts with knowledge base and adopt a cascade linking approach. In particular, we first use a mention expansion model to identify all possible entities in the knowledge base for a mention based on a variety of sources. Then we link the mentions with the corresponding entities in the knowledge base by collectively considering lexical matching, popularity probability and textual similarity.
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Miao, Q., Lu, H., Zhang, S., Meng, Y. (2013). Simple Yet Effective Method for Entity Linking in Microblog-Genre Text. In: Zhou, G., Li, J., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2013. Communications in Computer and Information Science, vol 400. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41644-6_44
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DOI: https://doi.org/10.1007/978-3-642-41644-6_44
Publisher Name: Springer, Berlin, Heidelberg
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