Course project information is
here.
Commentaries on Readings:
To help presenters direct class discussions, everyone is
expected to write a set of short reactions for each assigned paper (in
the form of NB annotations). You may find
these guidelines (Mitzenmacher and
Ramsey 2000) for reading
a research paper
useful (thanks to Dr. Hwa for the pointer).
I also recommend reading
"The Task of the Referee" by Alan Jay Smith (IEEE Computer 1990).
For our class, the section entitled "Evaluating a research paper" is
particularly relevant.
-
Requirements:
- Always include an annotation that explains whether and how you think the paper is interesting from an NLP perspective. What are the opportunities and challenges in applying NLP to this problem? If not published in a (modern) NLP venue, how would this work need to be changed to contribute to the NLP community?*
- Always include at least one additional substantive annotation per paper. These may take a number of forms: (a) compare the work to related work; (b) hypothesize about ways in which the work could have been improved; (c) think about ways to expand on the work (conceptually or computationally); (d) critique the work, including its conceptual framework, methodology, and/or results; (e) think about how the work could benefit NLP applications or other NLP tasks. *Here* are some additional notes about subjective comments.
- Additional substantive comments are encouraged, as are descriptions of things you don't understand that you would like the class to discuss.
- Grading: Commentary annotations are due by 2pm the day before the class during which the paper will be presented. For each class you will receive a commentary score of 1 (satisfactory) or 0 (unsatisfactory).
Leading class discussions:
Each student will lead two class discussions. You should
prepare slides. Since everyone in the class
will have read the assigned papers, there is no need to reiterate
everything in the paper. You should present the claims of the paper,
and address some interesting issues. What did we learn from the
paper? What future work does the research suggest? What are your
criticisms of the paper?
Please use the commentaries on the readings posted by the other
students for inspiration when preparing your presentation. The
additional
notes about
subjective comments from above are relevant here as well.
Feel free to meet with me before your presentation. Bring a sketch of your presentation. I can answer background questions you may have, and help you figure out what to focus on in your presentation.
Optional paper presentations:
To keep the amont of mandatory reading reasonable, we will distribute
individual knowledge among the group through supplementary
presentations of optional papers per class. Specifically, for two
classes you are not leading, you will be expected to read one paper
that is mandatory for you but optional for the rest of the class.
You should prepare slides. Your presentation should have two parts:
an objective overview of the paper and a subjective reaction to the paper.
The objective overview of the paper should describe the following. You cannot include all the details that are in the paper; you will need to abstract away from some details.
- The point of the paper: what is the problem addressed? what are the goals and claimed contributions of the paper?
- Method/methodology
- Data and evaluation
Academic Integrity
Academic integrity: if you include material or resources from any source in your
presentations and/or projects, you must acknowledge it.