Due: October 4, 2022
The project proposal counts for 10% of the project grade (3.5% of the course grade)
The proposal describes your plan for the research project. As a plan it is subject to change and does not represent a firm commitment, but it should show that you’ve thought through the relevant aspects of your research. The proposal should be written after you have received some feedback from your assigned TA about the general direction of your project.
The proposal should be written in English using your best academic style. Each group should submit a single 2-page proposal (excluding references). Use the standard ACL template for formatting your proposal. The proposal should include the following components.
Title for the project.
Project Domain & Goals: This section should clearly explain what your project is about. What sort of problem will your project address? Why do we need NLP to address the relevant challenge? What problems will you be able to solve if you successfully implement your ideas?
Related Work: Include related similar works and explain what will be your additional contribution to the existing works.
Datasets: Will you prepare your dataset or will you use existing benchmarks? Where will the data for your project come from? Be specific! Include URLs for the sources you plan to use. How will you process the dataset? Are there existing standard preprocessing and cleaning that you will use or will you have to develop your own procedure?
Technical Challenge: What is the hard technical problem you will solve? Why is it hard? How does it go beyond the material you have seen in the course syllabus as well as related existing work? How will you know if you succeed in addressing the challenges, i.e., evaluation?
References cited.
Division of labor between the teammates.
Submit the proposal as a PDF file using the “Project Proposal” assignment on Blackboard (it is a group assignment).
The grade for the proposal will be broken down as follows, using the rubric in Blackboard.
17% Motivation: a clearly articulated problem with real-world implications.
17% Design: appropriate considerations for materials, procedure, and evaluation.
17% Analysis: feasibility, alternative plans, and implications.
16% Creativity and thoroughness.
17% Quality and clarity of writing.
16% Adherence to format.
You will receive written feedback about your proposal, which should help you with writing the final report; however, feedback on the proposal might take some time, so don’t delay collecting your data and implementing your system while waiting for comments on your proposal.