在資訊大爆炸的時代，如何讓使用者快速準確的掌握資訊，是很重要的課題。本課程包括資訊檢索與資訊擷取兩部份，前者涵蓋資訊檢索模型、檢索評估、查詢語言和運算、文件和多媒體、Indexing、資訊呈現等技術。後者涉及文件的分析，和初步的語言理解，與自然語言處理課程相互連貫。
Contents
1.Introduction to Information Retrieval and Extraction
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.User Interfaces and Visualization
10.Multimedia IR: Models and Languages
11.Multimedia IR: Indexing and Searching
12.Searching the Web
13.Digital Libraries
14.Chinese Information Retrieval
15.Cross-Language Information Retrieval
16.Information Extraction (Jerry R. Hobbs)
17.Text Data Mining (Marti Hearst)

Books
1.Baeza-Yates, R. and Ribeiro-Neto, B. (1999) Modern Information Retrieval, Addison Wesley, 1999.
2.Frakes, W.B. and Baeza-Yates, R. (Eds.) (1992) Information Retrieval: Data Structures and Algorithms. Englewood Cliffs, NJ: Prentice Hall.
3.Salton, G. (1989) Automatic Text Processing. The Transformation, Analysis and Retrieval of Information by Computer. Reading, MA: Addison-Wesley.
4.Karen Sparck Jones and Peter Willett (1997) Readings in Information Retrieval, CA: Morgan Kaufmann Publishers.