Automatically Finding Answers to "Why" and "How to" Questions for Arabic Language

被引:0
|
作者
Salem, Ziad [1 ]
Sadek, Jawad [1 ]
Chakkour, Fairouz [1 ]
Haskkour, Nadia [2 ]
机构
[1] Aleppo Univ, Dept Comp Engn, Elect & Elect Engn Fac, Aleppo, Syria
[2] Aleppo Univ, Fac Arts & Humanit, Aleppo, Syria
关键词
Rhetorical Structure Theory; Natural Language Processing; Question Answering for Arabic; why and how to questions; Discourse analysis;
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
This paper addresses the task of extracting answers to why and how to-questions from Arabic texts which has not been addressed yet for Arabic language in the field of question answering systems (QA). The system developed here uses one of the leading theories in computational linguistics called Rhetorical Structure Theory (RST) and based on cue phrases to both determine the elementary units and the set of rhetorical relations that is relevant to the targeted questions. Our experiment has been conducted on Arabic raw texts (automatically annotated) taken from Arabic websites and has gave a good result comparing with a one already done before to why-questions answering for English language.
引用
收藏
页码:586 / +
页数:3
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