SIR-NERD: A Chinese Named Entity Recognition and Disambiguation System using a Two-Stage Method
نویسندگان
چکیده
This paper presents our SIR-NERD system for the Chinese named entity recognition and disambiguation Task in the CIPS-SIGHAN joint conference on Chinese language processing (CLP2012). Our system uses a two-stage method and some key techniques to deal with the named entity recognition and disambiguation (NERD) task. Experimental results on the test data shows that the proposed system, which incorporates classifying and clustering techniques, can achieve competitive performance.
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