DocumentCode
3119400
Title
Question classification for Arabic Question Answering Systems
Author
Al Chalabi, Hani Maluf ; Ray, Santosh Kumar ; Shaalan, Khaled
Author_Institution
Inf. Technol. Dept., Al Khawarizmi Int. Coll., Al Ain, United Arab Emirates
fYear
2015
fDate
17-19 May 2015
Firstpage
310
Lastpage
313
Abstract
Due to very fast growth of information in the last few decades, getting precise information in real time is becoming increasingly difficult. Search engines such as Google and Yahoo are helping in finding the information but the information provided by them are in the form of documents which consumes a lot of time of the user. Question Answering Systems have emerged as a good alternative to search engines where they produce the desired information in a very precise way in the real time. This saves a lot of time for the user. There has been a lot of research in the field of English and some European language Question Answering Systems. However, Arabic Question Answering Systems could not match the pace due to some inherent difficulties with the language itself as well as due to lack of tools available to assist the researchers. Question classification is a very important module of Question Answering Systems. In this paper, we are presenting a method to accurately classify the Arabic questions in order to retrieve precise answers. The proposed method gives promising results.
Keywords
natural language processing; question answering (information retrieval); search engines; Arabic question answering systems; English question answering systems; European language question answering systems; Google search engine; Yahoo search engine; question classification; Conferences; Grammar; IP networks; Knowledge discovery; Syntactics; Taxonomy; Arabic Question Answering Systems; Interrogative Particles; Nooj; Question Classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technology Research (ICTRC), 2015 International Conference on
Conference_Location
Abu Dhabi
Type
conf
DOI
10.1109/ICTRC.2015.7156484
Filename
7156484
Link To Document