1. Ajeb Arabic Question Answering System

2. ج س

5. Problem Definition.

6. Objective.

8. Previous Work.Ajeb Architecture. Tools. Project Time Plan. References. ج س

9. Introduction

10. Introduction Motivations

11. Motivation Ongoing update & progress in Arabic Natural Language Processing (ANLP). ج س

12. Motivation ج There is still little research in the Arabic language. س

13. Motivation Arabic is our mother language, so we prefer the Arabic language over any other one. ج س

14. Motivation English Française Español Deutsch The Arabic language was ranked as the fifth most important language in the world with 300 million speakers. ج س

15. Motivation ج Arabic is the language of the holy Quran. س

16. Introduction Problem Definition

17. Problem Definition The amount of available Arabic information is becoming very huge. ج س

18. Problem Definition Search engines are not able to provide an exact answer. ج س

19. Problem Definition Lack of time to find a short and precise answer among the variety of available documents. ج س

20. Introduction Objective

21. س Objective ج Obtaining a brief and concise answer for Arabic factoid questions extracted from internet corpus. ج س

22. Introduction Challenges

23. Challenges Arabic is highly inflectional and derivational, which makes morphological analysis a very complex task. ج س

24. Challenges The absence of diacritics (which represent most vowels) in the written text creates ambiguity. ج س

25. Challenges The writing direction is from right-to-left and some of the characters change their shapes based on their location in the word. ج س

26. Survey Summary

27. Common Methodology Name Entity Recognition (NER) Documents ج س

28. Survey Summary Name Entity Recognition (NER)

30. Organizations.

31. Locations.

32. Dates.

33. Quantities, monetary values and percentages.ج س

36. Lack of capitalization.

37. Delimitation problems.ج س

38. Survey Summary Previous Work

39. Previous Work - QARAB QARAB finds answers under the following assumptions: The answer exists in a collection of Arabic newspaper text extracted from the Al-Raya newspaper. All supporting information for the answer lies in one document . The answer is a short passage. ج س

40. Ajeb Architecture

41. Ajeb Architecture ج س

42. Ajeb Architecture ج س 1) Question Analysis.

43. Ajeb Architecture ج س 2) Passage Retrieval.

44. Ajeb Architecture ج س 3) Answer Extraction.

45. Tools

46. Tools ج س

47. Project Time Plan

48. Project Time Plan ج س

49. References [1]Hammo, B., H.Abu-Salem, S.Lytinen and M.Evens, 2002. QARAB: A question answering system to support the Arabic language. Proceedings of the 40th Association for Computational Linguistics on Computational Approaches to Semetic Languages, ACL’02 University of Pennsylvania, PA, USA, 55-65. [2]Paolo Rosso, YassineBenajiba, and AbdelouahidLyhyaoui, "Towards an Arabic Question Answering System" 2007. [3]WissalBrini, MariemEllouze, Omar Trigui(ANLP Research Group), Slim Mesfar, Lamia HadrichBelguith, Paolo Rosso, "Factoid and definitional Arabic Question Answering system", 2008. [4]SaleemAbuleil, "Extracting Names From Arabic Text For Question-Answering Systems", 2003. ج س

50. Thanks http://www.ajeb-aqas.blogspot.com