Adversarial techniques for dialogue generation
Table of Contents 1. Adversarial techniques for dialogue generation 1.1. goal 1.2. motivation 1.3. ingredients 1.4. steps 1.5. outlook 1.6. resources Adversarial techniques for dialogue generation goal This week we are going to have a look at the latest developments of generative adversarial networks (GANs) in the field of dialogue generation by summarizing the paper “Adversarial Learning for Neural Dialogue Generation”. motivation General encoder decoder models for response generation are usually not able to produce meaningful utterances and instead come up with short, generic, repetitive and non-informative sequences of words. The idea here is to apply adversarial methods so far only successful in computer vision to NLP problems, in particular dialogues. Adversarial training with respect to modeling conversations can be […]