基于自动问答系统的信息检索技术研究进展

被引：10

作者：

汤庸 ^{[1
]}

林鹭贤 ^{[1
]}

罗烨敏 ^{[1
]}

潘炎 ^{[2
]}

机构：

[1] 中山大学计算机科学系

[2] 中山大学软件学院

来源：

计算机应用 | 2008年 / 11期

基金：

广东省自然科学基金;

关键词：

自动问答; 信息检索; 自然语言处理; 查询扩展;

D O I：

暂无

中图分类号：

TP391.3 [检索机];

学科分类号：

081203 ; 0835 ;

摘要：

自动问答是根据用户以自然语言提出的问题给出一个明确的答案。近年来,自动问答越来越受到信息检索和自然语言处理的研究者的关注。典型的自动问答系统通常包含问题分析、文段检索和答案选择等部件。介绍了自动问答的最新研究进展和相关国际会议情况,着重阐述问题分类、查询扩展、文段检索和答案选择这四个热点技术的主要功能和常用方法,最后提出存在的一些问题和展望。

引用

页码：2745 / 2748

页数：4

共 15 条

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