Hi everyone! At this point, we've read through everyone's project version 1s; individual group feedback should be posted on canvas sometime by the end of tomorrow.
Aside from that, to help you make sure that you're including everything we're going to be looking for (and grading for) in the final project, Jesse wrote up a LaTeX template for the project writeup that you can use in Overleaf/any other LaTeX editor here:
https://www.overleaf.com/read/yrqhyqcjxfrf (to use it as a template, log in to overleaf, then visit that link, then from the upper-left hand menu, select "Copy Project"). We're not requiring you to use this template, but it would almost certainly be helpful for each team to at least look at; with that in mind, if some of you aren't TeX users, I've also attached the PDF version of the template to this announcement so that you can read through it.
Aside from putting together that template, Jesse also put together a set of high-level feedback after reading through all the project version 1s, which will also be helpful for you to read through. Here it is:
Good work on the reports so far! This mimics the research process -- it's often a good idea to start writing a draft which includes your hypotheses and a description of the experiments you will run. This will have placeholder tables and figures which we fill in as the experiments finish.
Some high-level feedback: If we put something in the description on the syllabus, or in the template, be sure to include it! We will be looking for these item when we're grading. For example, the syllabus says to include the total number of GPU hours used, so do so.
The syllabus describes 6 sections which need to be covered in your report -- your report should have these 6 sections (plus maybe an intro), numbered, in the order listed. While it isn't required, we strongly recommend using the EMNLP 2019 LaTeX style files. We've made a template for you to fill in. You can use Overleaf for free.
Be sure to record approximately how long you spent (human hours, not GPU hours) on each set of experiments or implementations. Each project is different, this will help us grade.
For each experiment in the experimental results section, be sure to say which hypothesis that experiment is supporting.
For every hypothesis in the Contributions section, list which experiments support it.
Your hypotheses should be a list, not a paragraph. See the template for some examples.
If you think there are no hyperparameters, there probably still are. There are many small decisions we make when implementing algorithms (how to break ties, the size of the vocabulary, etc.), this is the place to list them.
Let us know if you have any questions!
Make sure to follow all the point from the email: