An Arabic Question-Answering system for factoid questions

被引：0
|
作者：
Brini, Wissal [1 ]
Ellouze, Mariem [1 ]
Mesfar, Slim [2 ]
Belguith, Lamia Hadrich [1 ]
机构：
[1] FSEGS Univ Sfax, LARIS MIRACL, Sfax, Tunisia
[2] Univ El Manar, ISI, Tunis, Tunisia
来源：
IEEE NLP-KE 2009: PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING | 2009年
关键词：
Arabic language; fadoid questions; Natural language processing; Question-Answering system;
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：
In this paper, we propose an Arabic Question-Answering (Q-A) system called QASAL "Question -Answering system for Arabic Language". QASAL accepts as an input a natural language question written in Modern Standard Arabic (MSA) and generates as an output the most efficient and appropriate answer. The proposed system is composed of three modules: A question analysis module, a passage retrieval module and an answer extraction module. To process these three modules we use the NooJ Platform which represents a linguistic development environment.
引用
收藏
页码：417 / +
页数：3
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