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- W2369902906 abstract "Cross-document personal name disambiguation is the process of determining if an identical name occurring in different texts refers to the same person in the real world.With the increasing need for multi-document applications,for example,multi-document summarization and information fusion,cross-document name entity disambiguation has drawn much attention.This paper employs a social network based algorithm for cross-document personal name disambiguation.This method uses the spectral clustering approach,compares the results of different graph partition criteria,and chooses the modularity threshold as the stopping measure for graph partition.Experiments datasets are built by CLP 2010 Chinese personal name disambiguation task.The results show that this method is promissing." @default.
- W2369902906 created "2016-06-24" @default.
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- W2369902906 date "2011-01-01" @default.
- W2369902906 modified "2023-09-25" @default.
- W2369902906 title "Social Network Based Cross-Document Personal Name Disambiguation" @default.
- W2369902906 hasPublicationYear "2011" @default.
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