Project proposal due: October 15, 2010
Project Checkpoint: November 29, 2010
Project Final Report due: December 9, 2010
Projects should propose and tackle a problem broadly related to NLP,
whether a core NLP task or an interesting application. We expect that you will
implement statistical techniques as part of the project (from the literature
or novel), apply them to real-world data sets, and perform comprehensive
evaluation of the techniques. Project writeups should also discuss related
work/approaches in the research literature.
You may work in groups of up to 3 people; we expect that larger groups will tackle more substantial projects.
Proposal (1 or 2 pages)
The proposal should clearly outline each of the following components:
- A description of the algorithms and approaches you plan to implement
- An overall plan for experiments, i.e., what experimental conditions you plan to evaluate on
- Real world data-set(s) that will be used for evaluation
- A discussion of related work or approaches, with references to the research literature
Checkpoint (up to 4 pages for one person groups, 6 for two, 8 for three, not
The checkpoint should be a substantial draft of the
final writeup. We expect that the dataset should be ready and preliminary
experiments conducted by this point.
Final writeup (up to 4 pages for one person groups, 6 for two, 8 for three,
not including references)
The final report should be similar in quality to a
research conference publication, and should provide a comprehensive overview
of the project, covering all the points discussed in the Overview.
The last two class sessions will be devoted to presenting the
projects. Each group will prepare a poster, and all of you will have a chance
to learn about each others' work. The quality of the poster and poster
presentation will be part of the overall project grade.
Here are some project ideas and the titles of the last year's projects.