Title :
Enhancing Arabic Question Answering System
Author :
Kamal, Aml Ibrahim ; Abd Azim, Mostafa ; Mahmoud, Mohamed
Author_Institution :
Dept. of Comput. Sci., Arab Acad. for Sci., Technol. & Maritime Transp., Cairo, Egypt
Abstract :
During the last few decades many Arabic question answering systems have been developed. These systems may extract answers from texts or web-pages. None of these systems make use of question answering database where user can present questions in natural language which differ from the stored questions. The proposed system uses information retrieval approaches to get to the closest answers to the input question, so the system gives partially or totally correct answers. The Latent Semantic Indexing (LSI) is implemented to enhance the resultant selections. Arabic natural language processing is used in the proposed system along with LSI.
Keywords :
indexing; natural language processing; question answering (information retrieval); Arabic natural language processing; Arabic question answering system; information retrieval; latent semantic indexing; Equations; Indexing; Information retrieval; Knowledge discovery; Large scale integration; Natural languages; Semantics; information retrieval; latent semantic indexing; natural language processing; question answering system;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.143
