With background in at least one of the following areas: information retrieval, machine learning, natural language processing or data mining, or consent of instructor.
Grading will be based on how actively and seriously
you participate in the classroom discussions.
Grading will be based on, but not entirely determined by, peer-reviewing.
The instructor assigns a final grade for each proposal and gives each proposal a summarized feedback.
Please refer to the project page for what questions your proposal should address.
Grading will be based on the quality of your reviews for the project proposals of other students.
A good review should be specific, concrete, objective, and constructive. Avoid being vague, emotional,
or too general.
Grading will be based on your preparation for the presentation, including your slides,
understanding of the paper, and question answering.
You are expected to write at least 4 critiques (for 4 different papers) and post them through the Wiki. The instructor may request you to write a critique for a particular paper.
Grading will be based on your project progress (5%) and quality of your presentation (5%).
The instructor will give a brief feedback for each project.
Grading will be based on how actively you participate in the panel presentation and discussions.
Each student is expected to state his/her opinions on some topic/issue.
Grading will be based on the quality of your poster presentation.
Grading will be based on the research results of your project (10%) and the writing of your project report (10%). In the case of a group project, the report must state clearly each group member's contribution.