Automated question answering: Review of the main approaches

被引：0
|
作者：
Andrenucci, A [1 ]
Sneiders, E [1 ]
机构：
[1] Stockholm Univ, Royal Inst Technol, Stockholm, Sweden
来源：
THIRD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 1, PROCEEDINGS | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Automated Question-Answering aims at delivering concise information that contains answers to user questions. This paper reviews and compares three main question-answering approaches based on Natural Language Processing, Information Retrieval, and question templates, eliciting their differences and the context of application that best suits each of them.
引用
收藏
页码：514 / 519
页数：6
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