Towards an Arabic Question Answering system on the web | ||||
| Journal of the ACS Advances in Computer Science | ||||
| Article 5, Volume 4, Issue 1, 2010, Page 99-116 PDF (1.02 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asc.2010.158218 | ||||
 View on SCiNiTO | ||||
| Abstract | ||||
| The World Wide Web today is so huge that it has become more and more complicated to find answers to questions using regular search engines. Current search engines can return ranked lists of documents, but they do not bring direct answers to the user. The goal of Open Domain Question Answering (QA) systems is to take a natural language question, understand the meaning of the question, and present a short answer as a response based on a stored data. This paper presents an Arabic QA system model that is experimented on the World Wide Web. Techniques from Information Retrieval and Natural Language Processing are used in this research. The proposed model is tested and shows a success compared to other Latin systems. | ||||
| Keywords | ||||
| Artificial Intelligence; Arabic Natural Language Processing; Information Retrieval; Information Extraction; Question-Answering; semantic tagging | ||||
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