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Support Vector Machine with Ensemble Tree Kernel for Relation Extraction
2016
Computational Intelligence and Neuroscience
Relation extraction is one of the important research topics in the field of information extraction research. To solve the problem of semantic variation in traditional semisupervised relation extraction algorithm, this paper proposes a novel semisupervised relation extraction algorithm based on ensemble learning (LXRE). The new algorithm mainly uses two kinds of support vector machine classifiers based on tree kernel for integration and integrates the strategy of constrained extension seed set.
doi:10.1155/2016/8495754
pmid:27118966
pmcid:PMC4826950
fatcat:4t4ej2viojcvjm7yauta7kqqdi