Logic-based approach for improving Arabic question answering

被引：0

作者：

Bakari, Wided ^{[1
]}

Trigui, Omar ^{[1
]}

Neji, Mahmoud ^{[1
]}

机构：

[1] MIR CL, Comp Sci, Sfax, Tunisia

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC) | 2014年

关键词：

question answering system; logical representatio; reading comprehension; recognizing textual entailment;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Logical and inference approaches in Arabic question answering are in their first steps compared to other languages like English. This paper deals with the automatic Arabic text comprehension of question answering. Our goal is to understand a given text then answer a list of questions related to it. To do that, we have proposed an approach with which we can analyze a given text in an open domain and generate from them logical representations. Our approach is based on recognizing the textual entailment method. We have implemented this approach in a question answering system called NArQAS: New Arabic Question Answering System.

引用

页码：154 / 159

页数：6

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