%0 Journal Article
%T Confidence-weighted Online Sequence Labeling Algorithm<br>置信度加权在线序列标注算法
%A TANG Bu-Zhou
%A WANG Xiao-Long
%A WANG Xuan
%A <br>汤步洲
%A 王晓龙
%A 王轩
%J 自动化学报
%D 2011
%I 
%X Sequence labeling problem is a basic problem in natural language processing field. The task of sequence labeling is to label an input sequence with a label sequence of the same length. Under the fundamental framework of sequence labeling methods, a new online sequence labeling linear algorithm---confidence-weighted online sequence labeling algorithm---was presented for the characteristic of sequence labeling task with sparse features, based on confidence-weighted classification. This algorithm introduced a probabilistic measure of confidence for each parameter of features, and showed better performance than other relative algorithms. Experiments on Chinese segmentation, Chinese named entity recognition and English chunking validated the effectiveness of the proposed algorithm.
%K Sequence labeling problem
%K natural language processing
%K online sequence labeling linear algorithm
%K confidence-weighted
%K probabilistic measure of confidence<br>序列标注问题
%K 自然语言处理
%K 在线序列标注算法
%K 置信度加权
%K 概率置信度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=12EEA8C7DABFE7DC6766DCC4BB8DD46A&yid=9377ED8094509821&vid=42425781F0B1C26E&iid=0B39A22176CE99FB&sid=847B14427F4BF76A&eid=64963996248CBF47&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=0