1 INTRODUCTION

2 DATA ACQUISITION  
2.1 Data Discovery  
2.2 Data Augmentation  
2.3 Data Generation  

3 DATA LABELING  
3.1 Utilizing Existing Labels  
3.2 Crowd-Based Techniques  
3.3 Weak Supervision  

4 USING EXISTING DATA AND MODELS  
4.1 Improving Existing Data  
4.2 Improving Models  

5 PUTTING EVERYTHING TOGETHER

6 FUTURE RESEARCH CHALLENGES

7 CONCLUSION