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Báo cáo khoa học: "Structural, Transitive and Latent Models for Biographic Fact Extraction"

Chia sẻ: Nhung Nhung | Ngày: | Loại File: PDF | Số trang:9

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Báo cáo khoa học: "Structural, Transitive and Latent Models for Biographic Fact Extraction"

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This paper presents six novel approaches to biographic fact extraction that model structural, transitive and latent properties of biographical data. The ensemble of these proposed models substantially outperforms standard pattern-based biographic fact extraction methods and performance is further improved by modeling inter-attribute correlations and distributions over functions of attributes, achieving an average extraction accuracy of 80% over seven types of biographic attributes.

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