Professor
Nanyun Peng
AD
Most Helpful Review
Spring 2024 - This course is for students who want to focus on research in the future. You should not take it if you are not interested in research. The professor's lectures are clear and full of knowledge. I have only a little knowledge about NLP but can learn a lot from her lectures. However, the quizzes are harder than I expected, although the average score is high. The practice quizzes only cover a small part of the topics that will be covered in the actual quizzes. The workload is higher than I expected as well, not because the assignments are hard, but because they are time-consuming. The first assignment is to present a paper. Not only do you need to present, but you also need to write a reading note. (I haven't written a required reading note since I was in junior high.) The second assignment mainly focuses on human annotation. We need to compare the results generated by GPT with those annotated by humans. I think both assignments are designed for students to understand the entire research process clearly. They are not helpful at all for students who are going to find jobs unrelated to research.
Spring 2024 - This course is for students who want to focus on research in the future. You should not take it if you are not interested in research. The professor's lectures are clear and full of knowledge. I have only a little knowledge about NLP but can learn a lot from her lectures. However, the quizzes are harder than I expected, although the average score is high. The practice quizzes only cover a small part of the topics that will be covered in the actual quizzes. The workload is higher than I expected as well, not because the assignments are hard, but because they are time-consuming. The first assignment is to present a paper. Not only do you need to present, but you also need to write a reading note. (I haven't written a required reading note since I was in junior high.) The second assignment mainly focuses on human annotation. We need to compare the results generated by GPT with those annotated by humans. I think both assignments are designed for students to understand the entire research process clearly. They are not helpful at all for students who are going to find jobs unrelated to research.
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