Two Step Chinese Named Entity Recognition Based on Conditional Random Fields Models
نویسندگان
چکیده
This paper mainly describes a Chinese named entity recognition (NER) system NER@ISCAS, which integrates text, partof-speech and a small-vocabularycharacter-lists feature and heristic postprocess rules for MSRA NER open track under the framework of Conditional Random Fields (CRFs) model.
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تاریخ انتشار 2008