Abstract
Personal Family Network is an important component of social networks, therefore, it is of great importance of how to extract personal family relationships. We propose a novel method to construct personal families based on bootstrapping and coreference resolution on top of a search engine. It begins with seeds of personal relations to discover relational patterns in a bootstrapping fashion, then personal relations are further extracted via these learned patterns, finally family networks are fused using cross-document coreference resolution. The experimental results on a large-scale corpus of Gigaword show that, our method can build accurate family networks, thereby laying the foundation for social network analysis.
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Gu, J., Hu, Y., Qian, L., Zhu, Q. (2013). Research on Building Family Networks Based on Bootstrapping and Coreference Resolution. 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_19
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DOI: https://doi.org/10.1007/978-3-642-41644-6_19
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