uva-advanced-nlp

Grading Policy

The summaries will be graded on the following four-point scale:

4: All main concepts and skills mastered and all major questions answered, probably with minor errors
3: Important points made, but contains some significant omissions or errors
2: Substantial missing concepts or errors
1: Effort shown, but not a significant amount of relevant or correct content
0: Not turned in, or almost no effort or understanding demonstrated

In a paper presentation, please include the following components

Problem definition (20%): What is the research problem studied in this paper? Why this problem is important to the NLP community?
Related work (10%): A brief explanation of previous works and their limitations.
Proposed method (30%): A detail description of proposed method and its novelty. (If necessary, also provide some background knowledge, so the audience can fully understand the technical content.)
Evaluation (30%): (1) A brief description of evaluation setup, including datasets, baselines and competitive systems, evaluation measurements etc.; (2) Experimental results and key observations from experiments. (If necessary, also provide some background knowledge, so the audience can fully understand the technical content.)
Takeaways (10%): important things to be remembered from this paper