Explore adversarial methods for text in this comprehensive lecture from CMU's Advanced NLP course. Delve into generative adversarial networks, examining their applications in natural language processing. Learn about the strategic placement of adversaries in features versus outputs, and understand the challenges of implementing GANs with discrete outputs. Investigate techniques for handling adversaries on discrete inputs, gaining insights into cutting-edge NLP research. Cover topics such as distribution matching, discriminator training, stabilization tricks, and unsupervised style transfer. Enhance your understanding of advanced NLP concepts through this in-depth exploration of adversarial techniques in text processing.