Institute of Computer Science
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  3. Natural language processing (LTAT.01.001)
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Natural language processing 2022/23 spring

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Project

For the project work, you will choose a NLP-related problem and attempt to solve it. The projects are done in groups of up to three people but can also be done individually. The selection of project group as well as instructions for milestones are in Moodle.

How to choose a project topic?

There are various options for that.

  • It can be a problem that is of interest to you.
  • It can be a replication or improvement of an existing paper.
  • It can be based on a Kaggle competition (or some other benchmark data).

If you have a problem with choosing a topic, you can consult the teachers and we can help you to find a topic of interest.

Keep in mind that this is a relatively small project, expected to be executed in max half a semester and thus, it is extremely important that the data would be available or easily obtained. The project can also center on collecting and annotating some new data, with less emphasis on experimental work.

Project assessment

The project gives a maximum of 30 points in total, consisting of three components:

AssessmentPoints
Project report20
Peer review5
Presentation5

Project report

Project report will be graded after the final submission according to a pre-defined rubric, which will be made available by the time the project work starts.

Several intermediate milestone deadlines will be offered to submit different parts of the project. Using these deadlines gives you an opportunity to get feedback to your work. These deadlines are not mandatory, however, only those milestone artifacts submitted on time will receive feedback.

The schedule for the milestone deadlines:

MilestoneDeadline
Project topic05.04.2023
Background19.04.2023
Method26.04.2023
Preliminary results9.05.2023
Report first version for peer review18.05.2023
Project presentation24.05.2023
Submit peer review25.05.2023
Final report06.06.2023

It is highly encouraged to plan your work schedule according to these deadlines and use the opportunity for receiving early feedback.

Peer review

  • Peer review milestone involves giving feedback to a report draft of another project.
  • The prerequisite for being able to participate in peer review process and getting points for it is submitting your own report that can be peer reviewed.
  • The submitted draft must be complete, which means that it should be the version you would be willing to submit to final assessment.
  • If the submitted draft is not complete, ie it is missing relevant parts or the writing is so preliminary that it is not readable then it will not be allowed to the peer review process, i.e., you will not get the opportunity to review someone else's project and get points for that.

Project presentations

Project presentations are planned for the May 24th. The presentations will take place in two batches - first batch in the morning at 10:15 and the second batch in the afternoon at 14:15.

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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