Course in Information Retrieval

General Information

Lecturer Jun.-Prof. Dr. Martin Potthast
Lab Advisor Lukas Gienapp
Workload 2 SWS Lecture, 3 SWS Lab
Lecture Tuesdays, 11:15 - 12:45, S3.201, starting October 15
Lab Tuesdays, 13:15 - 14:45, S3.201, starting October 15
Contact Email, or via Discord server "irlecture"
Exam 30 minute presentation, written report

Announcements

  • The lecture on January 14th is canceled due to illness.

Lecturenotes

Lab Project

The lab consists of building and evaluating an information system for a specific domain. This entails related work search, data acquisition, data cleansing, indexing, selection and implementation of suitable retrieval models, development of a UI, evaluation of search quality, submission of a written report and well-documented source code, and a final presentation.

Successful participation in the lab project is a prerequisite to complete the module.

Lab classes

  • 2019-10-15. Introduction. [slides] [shared task]
  • 2019-10-29. Literature Research, Oral Presentations & Scientific Writing. [slides]
  • 2019-11-05. Docker. [slides]
  • 2019-11-12. Short Project Presentations & Brainstorming Session.
    Important: there will be no lecture on 12.11., instead, the lab session will take place from 11:15 - 12:45
    Each group should give a short (3-5 Minutes) outline of their planned project. It is not required to give a fully detailed report, rather a few short talking points to discuss in a brainstorming later.
  • 2019-12-17. Demo Session.
    Each group should give a short (3-5 Minutes) demo of their prototype. Also, each group should register for the shared task. [Registration]
  • 2020-01-21. Project Presentations
    Final presentations of the projects. Each group has 30 minutes. Time slots will be assigned in the session on 2019-12-17.
  • 2020-01-28. Project Presentations
  • 2020-02-04. Project Presentations

Material

Lab Report

A written report is expected at the end of the semester. Detailed information can be found below.

  • Language: English or German
  • Structure:
    1. Introduction
    2. Related Work
    3. Argument Retrieval Model(s) (Description of your contribution)
    4. Evaluation
    5. Discussion and Conclusion
  • Style: please use Springer LNCS as template for your report [Overleaf Template] [Word Template] [Latex Template]
  • Length: minimum 10 pages
  • Supplementary Material:
    • your source code (i.e. a link to your git repository)
    • a working deployment of your model on the Tira platform
  • Due Date: 2019-02-29