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- W3089044186 abstract "This paper describes three systems: the Chinese word segmentation (WS) system, the named entity recognition (NER) system and the Part-of-Speech tagging (POS) system, which are submitted to the Fourth International Chinese Language Processing Bakeoff. Here, Conditional Random Fields (CRFs) are employed as the primary models. For the WS and NER tracks, the ngram language model is incorporated in our CRFs based systems in order to take into account the higher level language information. Furthermore, to improve the performances of our submitted systems, a transformationbased learning (TBL) technique is adopted for post-processing." @default.
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- W3089044186 date "2008-01-01" @default.
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- W3089044186 title "An Improved CRF based Chinese Language Processing System for SIGHAN Bakeoff 2007." @default.
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