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- W2045436198 abstract "We propose a kernel-based model to automatically extract social relations such as economic relations and political relations between two people from news articles. To determine whether two people are structurally associated with each other, the proposed model uses an SVM (support vector machine) tree kernel based on trigrams of head-dependent relations between them. In the experiments with the automatic content extraction (ACE) corpus and a Korean news corpus, the proposed model outperformed the previous systems based on SVM tree kernels even though it used more shallow linguistic knowledge." @default.
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- W2045436198 date "2012-01-01" @default.
- W2045436198 modified "2023-09-26" @default.
- W2045436198 title "Dependency trigram model for social relation extraction from news articles" @default.
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- W2045436198 doi "https://doi.org/10.1145/2348283.2348462" @default.
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