Professor
Nanyun Peng
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Most Helpful Review
Spring 2024 - I liked this class as an introduction to NLP, but I don't think it went too deep into any topics. The first homework was presenting on a NLP paper and peer reviewing, which I thought was interesting. The second homework was a bit more bland, but I think Professor Peng said she is going to change it after student feedback. Project is also very doable in terms of workload since there's only two homeworks. Exams were really fair and doable as well. The professor really seems to care about learning and student feedback, so I can only imagine that this class will get better and better as more iterations are offered!
Spring 2024 - I liked this class as an introduction to NLP, but I don't think it went too deep into any topics. The first homework was presenting on a NLP paper and peer reviewing, which I thought was interesting. The second homework was a bit more bland, but I think Professor Peng said she is going to change it after student feedback. Project is also very doable in terms of workload since there's only two homeworks. Exams were really fair and doable as well. The professor really seems to care about learning and student feedback, so I can only imagine that this class will get better and better as more iterations are offered!
Most Helpful Review
Fall 2023 - Great overview of current NLP papers. Some NLP experience is necessary, but grading is very generous and mostly based on participation/completion. Not sure what the other reviews are saying since Prof Peng is really knowledgable, helpful, and completely fluent in English
Fall 2023 - Great overview of current NLP papers. Some NLP experience is necessary, but grading is very generous and mostly based on participation/completion. Not sure what the other reviews are saying since Prof Peng is really knowledgable, helpful, and completely fluent in English
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