

If you are an Overleaf user, the ACL 2020 style is available as a project template. If you are not familiar with LaTeX, this is an excellent time to learn, but do make sure give yourself a little extra time when writing to allow for some trial-and-error. The grading rubric can be found at the end of this page.įor each of the written deliverables, you are required to use the ACL 2020 LaTeX style template (don’t forget to comment out the “final copy” command!), and to use BibTeX for your bibliography. A longer, in-class presentation (30%) at the end of the term.A project proposal (20%), consisting of….The deliverables and grading breakdown for the project are as follows: If you are unsure about whether your idea might fall into this category, please ask! large pre-trained language models, tools such as fairseq for machine translation, etc.) your project can certainly use such things, but must go beyond simply “downloading and running sample code”. There exist many wonderful “out of the box” tools and models (e.g.I am happy to provide advice on this issue! Please note that many current topics in NLP necessitate substantial computational resources, but many others do not- your choice of project should take into account what resources you have available, and should be feasible in that regard.Don’t be afraid to get creative with your evaluation, and please swing by office hours if you would like help brainstorming! If you are developing a dataset, for instance, your evaluation component will look rather different from how it would look if you were replicating a machine translation paper. Most often, the evaluation component of projects takes the form of an experimental evaluation, but depending on your project this may not be appropriate.

I encourage you to discuss possible ideas for your project with me early in the term- this is an excellent use of office hours!.That it involve an evaluation component, involving both quantitative and qualitative evaluations.That it involve the techniques and approaches we cover in this class,.That the project have a linguistic component to it,.The only requirements vis-a-vis the topic of the project are: In the past, students have reproduced a paper, developed a dataset, implemented an algorithm or approach, etc. In addition to homework assignments, there will be a final project on the subject of your choice.
