TY  - JOUR
T1  - An Efficient Semantic Analysis Technique for the Question Answering Systems
AU - Mahmoud Ibrahim Alturani, Ibrahim AU - Pouzi Bin Hamzah, Mohd 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 22
SP  - 8289
EP  - 8292
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.8289.8292
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.8289.8292
KW  - conceptual graphs
KW  -semantic
search
KW  -keywords search
KW  -concepts extraction
KW  -question answering systems
KW  -Information retrieval
AB  - Question Answering (QA) systems provide a natural way of requesting specific and concise
information from a given data source. A crucial stage of such a system is the information retrieval stage which
retrieves the possible passages based on their relevance to the question. Accordingly, this study introduces
an approach of knowledge extraction of information retrieval from these corpus based on Conceptual Graph
(CG). This study discusses how to enhance the accuracy of text-based QA system by modeling the knowledge
automatically by using CGF and answers question semantically. The proposed approach showed efficient
results of information retrieval measurement through compare recall and precision with another traditional
method that has been applied in this same test collection. The result of experiments produced a score of 0.919
for precision and 0.853 for recall. We evaluate our model and show that for the answering task it performs better
than standard QA Model.
ER  -