1. Introduction  
2. Survey Structure  
2.2. Paper Selection  
3. Theoretical Background  
3.2. Generative Adversarial Networks  
3.3. Datasets  
3.4. Evaluation Metrics  
4. Analysis and Discussion  
4.2. Text Generation using GANs and Reinforcement Learning  
4.3. Text Generation using GANs and Modified Training Objectives  
5. Conclusions and Future Insights