%0 Journal Article
%T Question Interpretation and Question Classification Based on Dependency Relations<br>基于依存关系的问句理解与问句分类
%A LIN Xu-Dong
%A PENG Hong
%A LIN Pi-Yuan
%A DENG Jian-Shuang
%A <br>林旭东
%A 彭宏
%A 林丕源
%A 邓健爽
%J 计算机科学
%D 2007
%I 
%X Question interpretation is the first step of question answering system. Question classification is the main part of the question interpretation and it plays a crucial important role in the question answering system because categorizing a given question is beneficial to identify an answer in the documents. The goal of question classification is to accurately assign labels to question based on expected answer type. In this paper, we use dependency relation rules and statistical method to understand questions and classify questions. In this experiment, we perform the SVM algorithm and a dependency relationships feature extraction method to get high classification accuracy.
%K Question classification
%K Dependency relations
%K Dependency tree
%K Named entity recognition<br>问句分类
%K 依存关系
%K 依存关系树
%K 命名实体识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=1E8759907DE654788EA600454ED378C9&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=DF92D298D3FF1E6E&sid=3D9746C06EC12B45&eid=AA27B676BFCAA4BE&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9