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1
Intro
2
Scientific Method
3
Good Research Directions
4
Application Driven Research
5
Curiosity Driven Research
6
How do we get research ideas
7
Incremental
8
Research Survey
9
Google Scholar
10
Research
11
Form Hypothesis
12
Curiosity Driven Questions
13
Application Driven Questions
14
Research Questions
15
Running Experiments
16
Obtaining Test Data
17
Finding Datasets
18
Annotation
19
References
20
Power Analysis
21
Sample Data
22
Annotation Guidelines
23
Annotation Options
24
Human Performance
Description:
Explore advanced Natural Language Processing concepts in this comprehensive lecture from CMU's CS 11-711 course. Delve into the scientific method, learn how to formulate research questions, conduct literature surveys, and develop hypotheses. Gain insights on designing and executing experiments, including data acquisition, annotation techniques, and performance evaluation. Discover the differences between application-driven and curiosity-driven research, and understand how to generate innovative ideas in the field of NLP. Enhance your understanding of experimental design, power analysis, and the importance of establishing robust annotation guidelines.

CMU Advanced NLP: NLP Experimentation

Graham Neubig
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