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1
Intro
2
Identify good research directions
3
Examples of applications
4
Curiosity driven research
5
Bottomup discovery
6
Research survey methods
7
Where to find papers
8
ACL Anthology
9
Google Scholar
10
Resources
11
Research Question
12
Hypothesis
13
Application Driven Questions
14
Testing with Experiments
15
Obtaining Test Data
16
Finding Datasets
17
Annotation
18
Statistical significance testing
19
Sample data
20
Annotation guidelines
21
Annotation methods
22
Measure metrics
Description:
Explore experimental design in advanced natural language processing through this comprehensive lecture. Learn about the scientific method, formulating research questions, conducting literature surveys, and developing hypotheses. Discover techniques for running experiments, including data collection, annotation guidelines, and statistical significance testing. Gain insights into identifying promising research directions, from curiosity-driven approaches to application-focused inquiries. Understand the importance of proper experimental setup and evaluation metrics in NLP research. Access valuable resources for finding relevant papers and datasets to support your investigations.

CMU Advanced NLP: Experimental Design

Graham Neubig
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