Information Retrieval
This course provides an overview of information retrieval as an application in computational linguistics.
Information Retrieval as interpreted by ChatGPTs DALL·E, based on the course content.
For the grade passed the student, on completion of the course, must be able to:
- Describe the role of information retrieval as a field and how it relates to natural language processing and natural language understanding
- Analyze and evaluate existing retrieval systems, and explain the differences between them
- Explain in detail the most common techniques for indexing a document, as well as the classification part, and how to apply these techniques to big data
- Analyze and critically review scientific publications in the field of information retrieval
- Describe and analyze how question answering systems work
- Describe the difference between argument mining and information extraction and being able to analyze current argument mining methods
- Implement a basic system for information retrieval and in detail explain how neural systems for information retrieval work
- Formulate and critically discuss the methodological assumptions made by the techniques mentioned in the course.
The courses are offered in agreement and collaboration with Uppsala University.
A detailed description of the course structure is provided by Uppsala University.
Teaching Format
The teaching consists of lectures and laboratory sessions under supervision,
in the language (English or Swedish) specified for each course instance.
Assessment
Assessment takes place through oral and written presentation of assignments.
Examiner
Main literature:
Manning, Christopher D., Prabhakar Raghavan, Hinrich Schütze: ”Introduction to Information Retrieval”, Cambridge: Cambridge University Press. 2008.
A more detailed reading list is provided by Uppsala University.
If you have questions about the Master's programme in AI and Language, contact us at master-ai@ling.su.se.
If you have general questions about your education at our department, you are welcome to contact our Student Office!
Department of Linguistics
Student Office
Visiting addressRoom C 378, floor 3
Visiting hoursTuesdays 9–10,
Wednesdays 13–15,
Thursdays 13–16
Phone hoursTuesdays 9–10,
Wednesdays 13–15,
Thursdays 9–11 and 13–16
