In this thesis , attention is concentrated on the english ner . ner is implemented with two methods , which are improved hmm and conditional random field , and the test result is analyzed . first , this thesis identifies the english named entity with improved hmm 分別利用了改進的隱馬爾可夫模型( hiddenmarkovmodel , hmm )和條件隨機域模型( conditionalrandomfield , crf )兩種方法進行英文命名實體的識別,并對實驗結(jié)果進行了分析。
百科解釋
條件隨機場(conditional random field,簡稱 CRF),是一種鑒別式機率模型,是隨機場的一種,常用于標注或分析序列資料,如自然語言文字或是生物序列。