Abstract
Entity relation extraction is a key task in information extraction. The purpose is to find out the semantic relation between entities in the text. An improved tree kernel-based method for relation extraction described in this paper adds the predicate verb information associated with entity, prunes the original parse tree, and removes some redundant structure on the basis of the Path-enclosed Tree. The experiment shows that the proposed method delivered better performance than existing methods.
Project supported by the National Nature Science Foundation of China (No. 61271413, 61472329, 61532009), Innovation Fund of Postgraduate, Xihua University.
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Acknowledgements
This research is supported by Projects 61271413, 61472329 and 61532009 under the National Natural Science Foundation of China and Project Innovation Fund of Postgraduate under Xihua University and Project “Xihua Cup” college students innovation and entrepreneurship under Xihua University.
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Zheng, H., Du, Y., Wang, S., Li, C., Yang, J. (2016). A Novel Entity Relation Extraction Approach Based on Micro-Blog. In: Huang, DS., Han, K., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2016. Lecture Notes in Computer Science(), vol 9773. Springer, Cham. https://doi.org/10.1007/978-3-319-42297-8_38
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