Alexander Gelbukh

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Alexander Gelbukh Moscow, Russia
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Mexico
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Computing Research Center (CIC), Mexico
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Chung-Ang University, KoreaElectronic
Commerce andInternet Application Lab
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Special Topics in Computer ScienceAdvanced
Topics in Information Retrieval

• Alexander Gelbukh
• www.Gelbukh.com

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Information Retrieval

• In a huge amount
• of poorly structured information
• find the information that you need
• when you dont know exactly what you need
• or cant explain it
• Key concepts
• The Web
• User information need
• Ranking

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Importance

• Knowledge the main treasure of man
• Web Repository? Cemetery of information!
• Natural language and multimedia information
• Poorly structured, badly written
• Corporate and organizational document bases
• Senate speeches Mexico
• Medical data collections
• Corporate memory. Microsoft knowledge base
• Future data explosion ? increasing importance

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Perspectives

• Corporations corporate databases
• Organizations document bases
• Government
• European Union multilingual problem
• The same in Asia
• Academy
• Lots of open research topics
• Web topics
• Computational Linguistics topics
• Intelligent technologies, AI

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Textbook

• http//sunsite.dcc.uchile.cl/irbook/

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Contents

1. Introduction
2. Modeling
3. Retrieval Evaluation
4. Query Languages
5. Query Operations
6. Text and Multimedia Languages and Properties
7. Text Operations
8. Indexing and Searching
9. Parallel and Distributed IR
10. User Interfaces and Visualization
11. Multimedia IR Models and Languages
12. Multimedia IR Indexing and Searching
13. Searching the Web
14. Libraries and Bibliographical Systems
15. Digital Libraries

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Calendar

• March 4 Presentation of the course
• March 11 Chapter 1 Introduction. Paper
  presentation.
• March 18 Chapter 2 Modeling. Paper presentation.
  
• March 25 Chapter 3 Retrieval evaluation. Paper
  presentation.
• April 1 Chapters 4-7. Paper presentation.
• April 8 Chapter 8 Indexing and Searching. Paper
  presentation.
• April 15 Chapter 9 Parallel and Distributed IR.
• April 22 Midterm exam. Consultations. Discussion.
• April 29 Chapter 11 Multimedia IR Models and
  languages
• May 6 Paper presentation and discussion.
• May 13 Chapter 12 Multimedia IR Indexing and
  Searching
• May 20 Paper presentation and discussion.
• May 27 Thesis presentation.
• June 3 Thesis presentation.
• June 10 Paper presentation and discussion.
• June 17 Final exam. Consultations. Discussion.

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Class structure

• Main course Information Retrieval
• Discussion of previous chapter. Questions
• I briefly present a new chapter
• Research seminar Natural Language Processing
• Discussion of previous paper. Questions.
• Identification of possible research topics
• Presentation of a new paper or current work
• Discussion and questions
• Goal publications!

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Evaluation

• Oral tests
• Written test
• Activity in paper presentations and discussions
• Preparation of papers for publication

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Papers for the next classes

• March 11
• Challenges in the Interaction of Information
  Retrieval and Natural Language Processing 
• Ricardo Baeza-Yates
• March 18
• Head/Modifier Frames for Information Retrieval
• Cornelis H.A. Koster

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Thank you! Till March 11