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• W2559372221 abstract "This paper describes our system for Chinese word segmentation of micro-blog text, one of the NLPCC-ICCPOL 2016 Shared Tasks [1]. The CRF (Conditional Random Field) model is employed to model word segmentation as a sequence labeling problem, 7 sets of features are selected to train the CRF model. The system achieves (f_{b}) 0.798144 on closed track, 0.81968 on semi-open track, and 0.82217 on open track with weighted measures [2]." @default.
• W2559372221 created "2016-12-08" @default.
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• W2559372221 date "2016-01-01" @default.
• W2559372221 modified "2023-09-22" @default.
• W2559372221 title "A Feature-Rich CRF Segmenter for Chinese Micro-Blog" @default.
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• W2559372221 doi "https://doi.org/10.1007/978-3-319-50496-4_78" @default.
• W2559372221 hasPublicationYear "2016" @default.
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