Preliminary Report of III&CYUT for NTCIR-11 MedNLP-2
نویسندگان
چکیده
We construct a supervised learning system to participate MedNLP2 task in NTCIR-11 that find the keyword out correctly at right position and normalize to identify unique id in ICD10 [4]. In our system, We pick part-of-speech tagging (POS) [1] as feature to train machine learning models based on Conditional Random Fields (CRF) [3] for named entities extraction, then construct a hierarchical classifier to determine ICD code of the terms.
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