Abstract
The keep rising of web information ensures the development of entity focused information retrieval system. However, the problem of mining the relationships effectively between entities has not been well resolved. For the entity relationship extraction (RE) problem, this paper firstly establishes the basic pattern trees which can present the overall relation structures and then designs a similarity function according to which we can judge which pattern the sentence containing two entities belongs to. Knowing the matched pattern, we can discovery the relationship easily. By a large number of experiments on real data, the proposed methods are proved running accurately and efficiently.
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Chen, C., Liu, H., Wang, G., Ding, L., Yu, L. (2010). Entity Relationship Extraction Based on Potential Relationship Pattern. In: Wang, F.L., Gong, Z., Luo, X., Lei, J. (eds) Web Information Systems and Mining. WISM 2010. Lecture Notes in Computer Science, vol 6318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16515-3_46
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DOI: https://doi.org/10.1007/978-3-642-16515-3_46
Publisher Name: Springer, Berlin, Heidelberg
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