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Ajeb First Seminar

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Ajeb First Seminar

  1. 1. Ajeb<br />Arabic Question Answering System<br />
  2. 2. ج<br />س<br />
  3. 3. Project Members<br /><ul><li>EidMosadEl-Sayed CS</li></ul>Khaled Ahmed Sayed CS<br />Sarah Abdel Monem Ismail CS<br />Supervised by: <br />Prof. Dr. Mostafa Aref <br />Dr. Ibrahim Fathy<br />TA. Mohamed Hamdy <br />ج<br />س<br />
  4. 4. Agenda<br />Introduction:<br /><ul><li>Motivations.
  5. 5. Problem Definition.
  6. 6. Objective.
  7. 7. Challenges.</li></ul>Survey Summary:<br /><ul><li>Name Entity Recognition(NER).
  8. 8. Previous Work.</li></ul>Ajeb Architecture.<br />Tools.<br />Project Time Plan.<br />References.<br />ج<br />س<br />
  9. 9. Introduction<br />
  10. 10. Introduction<br />Motivations<br />
  11. 11. Motivation<br />Ongoing update & progress in Arabic Natural Language Processing (ANLP).<br />ج<br />س<br />
  12. 12. Motivation<br />ج<br /> There is still little research in the Arabic language.<br />س<br />
  13. 13. Motivation<br />Arabic is our mother language, so we prefer the Arabic language over any other one.<br />ج<br />س<br />
  14. 14. Motivation<br />English<br />Française<br />Español<br />Deutsch<br />The Arabic language was ranked as the fifth most important language in the world with 300 million speakers.<br />ج<br />س<br />
  15. 15. Motivation<br />ج<br /> Arabic is the language of the holy Quran.<br />س<br />
  16. 16. Introduction<br />Problem Definition<br />
  17. 17. Problem Definition<br /> The amount of available Arabic information is becoming very huge.<br />ج<br />س<br />
  18. 18. Problem Definition<br /> Search engines are not able to provide an exact answer.<br />ج<br />س<br />
  19. 19. Problem Definition<br /> Lack of time to find a short and precise answer among the variety of available documents.<br />ج<br />س<br />
  20. 20. Introduction<br />Objective<br />
  21. 21. س<br />Objective<br />ج<br /> Obtaining a brief and concise answer for Arabic factoid questions extracted from internet corpus.<br />ج<br />س<br />
  22. 22. Introduction<br />Challenges<br />
  23. 23. Challenges<br /> Arabic is highly inflectional and derivational, which makes morphological analysis a very complex task.<br />ج<br />س<br />
  24. 24. Challenges<br /> The absence of diacritics (which represent most vowels) in the written text creates ambiguity.<br />ج<br />س<br />
  25. 25. Challenges<br /> The writing direction is from right-to-left and some of the characters change their shapes based on their location in the word. <br />ج<br />س<br />
  26. 26. Survey Summary<br />
  27. 27. Common Methodology<br />Name Entity Recognition (NER)<br />Documents<br />ج<br />س<br />
  28. 28. Survey Summary<br />Name Entity Recognition (NER)<br />
  29. 29. Name Entity Recognition (NER)<br />Classify elements in text into predefined categories:<br /><ul><li>Persons.
  30. 30. Organizations.
  31. 31. Locations.
  32. 32. Dates.
  33. 33. Quantities, monetary values and percentages.</li></ul>ج<br />س<br />
  34. 34. Name Entity Recognition (NER)<br />Importance:<br /><ul><li>Since the Arabic language is very hard to understand by the computer, NER is been used to make the QA system semi-understand.</li></ul>ج<br />س<br />
  35. 35. Name Entity Recognition (NER)<br />What is the problem of recognizing names in the Arabic language?<br /><ul><li>Non-vocalization.
  36. 36. Lack of capitalization.
  37. 37. Delimitation problems.</li></ul>ج<br />س<br />
  38. 38. Survey Summary<br />Previous Work<br />
  39. 39. Previous Work - QARAB<br />QARAB finds answers under the following assumptions: <br />The answer exists in a collection of Arabic newspaper text extracted from the Al-Raya newspaper. <br />All supporting information for the answer lies in one document .<br />The answer is a short passage.<br />ج<br />س<br />
  40. 40. Ajeb Architecture<br />
  41. 41. Ajeb Architecture<br />ج<br />س<br />
  42. 42. Ajeb Architecture<br />ج<br />س<br />1) Question Analysis.<br />
  43. 43. Ajeb Architecture<br />ج<br />س<br />2) Passage Retrieval.<br />
  44. 44. Ajeb Architecture<br />ج<br />س<br />3) Answer Extraction.<br />
  45. 45. Tools<br />
  46. 46. Tools<br />ج<br />س<br />
  47. 47. Project Time Plan<br />
  48. 48. Project Time Plan<br />ج<br />س<br />
  49. 49. References<br />[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.<br />[2]Paolo Rosso, YassineBenajiba, and AbdelouahidLyhyaoui, "Towards an Arabic Question Answering System" 2007.<br />[3]WissalBrini, MariemEllouze, Omar Trigui(ANLP Research Group), Slim Mesfar, Lamia HadrichBelguith, Paolo Rosso, "Factoid and definitional Arabic Question Answering system", 2008.<br />[4]SaleemAbuleil, "Extracting Names From Arabic Text For Question-Answering Systems", 2003.<br />ج<br />س<br />
  50. 50. Thanks<br />http://www.ajeb-aqas.blogspot.com<br />

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