CS571: Natural Language Processing https://github.com/emory-courses/cs571

1. Introduction
Natural Language Processing
Emory University
Jinho D. Choi

2. About Me
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Jinho Jin
Geno Gene
How should I call you?
Or any other variation that sounds like me.

3. Office Hours
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Where is your office?
E414
When is your office hours?
MW 2:30 - 4pm, or by appointment.

4. Teaching Assistant
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Friday 9:30 - 11:30am
Computer Lab (E308A)
Bonggun Shin
bonggun.shin@emory.edu

5. About Course
• Webpage
- https://github.com/emory-courses/cs571
• Prerequisites
- Undergraduate level of AI, ML, NLP, IR, or their equivalence.
• Grading
- Homework assignments: 40%.
- Paper presentation: 10%.
- Project proposal: 20%.
- Final project: 30%.
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6. Assignments
• 8 homework assignments
- One homework per week.
- Mostly to keep with the materials.
- Programming language of your choice.
- We will use cloud for large scale computing.
- Assignments must be submitted individually with your original work.
- Apparent copies from any source (e.g., your colleagues, internet sites)
will be referred to the Emory Honor Council.
- Late submissions within a week are accepted with the grading penalty
of 15%. Late submissions after the first week are not accepted.
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7. Paper Presentation
• 1 paper presentation
- Each lecture has an assigned paper for the presentation.
- Whoever picks the first gets to present the paper.
- Few of you need to find your own papers to present.
- Give a 15 mins presentation about the paper during the class.
- Write a 2+ pages report (excluding references) that gives
comparative analysis of this work to other related work.
- Use the following template for the report:
https://github.com/emory-courses/cs571/tree/master/latex/acl2017
- The grade will be based on
: slide preparation (2 points), presentation clarity (3 points),
: completeness of report (2 points), meaningful analysis (3 points).
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8. Project Proposal
• Project proposal
- Find an idea within the scope of this class.
- Your idea should include at least workshop-acceptable novelty.
- Your idea must be plausible within this semester.
- Be specific about what task you want to tackle, what approaches you
will take, and how you will evaluate your approaches.
- If you want to bring your ongoing project, be specific about what has
been already done, and what more will be done during this course.
- You will give an oral presentation as well as a written proposal.
- Working in groups up to 3 is allowed. Everyone in the group will get
the same grade.
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9. Final Project
• Final project
- You need to give an oral presentation as well as a written report.
- Your report should focus more on your own work than related work.
- Projects with outstanding results will be submitted to conferences.
- Projects with good results will be submitted to workshops.
- Projects with promising results will be submitted to arXiv.
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10. During Classes
• Lectures
- Mostly by me (and you!).
- Slides and exercises will be dynamically updated.
• In-class exercises
- We will have in-class exercises and group discussions.
- Please bring your laptop!
• Attendance
- Attendance is not required although if you miss many
classes, you’ll soon look like this.
- If you feel like getting lost or overwhelmed, please come to talk.
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11. Questions?
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