%0 Journal Article
%T The Methods of Machine Learning for Natural Language Information Extraction<br>自然语言信息抽取中的机器学习方法研究
%A ZHOU Jun-Sheng
%A DAI Xin-Yu
%A YIN Cun-Yan
%A CHEN Jia-Jun State Key Laboratory for Novel Software Technology
%A <br>周俊生
%A 戴新宇
%A 尹存燕
%A 陈家骏
%J 计算机科学
%D 2005
%I 
%X Information extraction is an effective way of processing various texts, but building a information extraction system is very difficult and time-consuming. In recent years, statistical learning methods for information extraction re- ceive more attention. This paper first deeply analyses the main statistical learning methods employed by researchers in the filed of information extraction and compares the advantages and shortness of various methods. It then explores the solutions to the problem of lack of the training corpus. It also points out the direction for further research in the future.
%K Natural language
%K Information extraction
%K Statistical learning
%K Named entity<br>自然语言
%K 信息抽取
%K 机器学习方法
%K 统计学习
%K 命名实体
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=CB6C8F35D2A84FF1&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=38B194292C032A66&sid=50BBDFAC8381694B&eid=3A0155B37D8FF829&journal_id=1002-137X&journal_name=计算机科学&referenced_num=2&reference_num=39