Hierarchical Text Generation and Planning for Strategic Dialogue
Table 1: Likelihood of human dialogues using different models. Our model with discrete message representations is able to achieve state-of-the-art performance, showing that the representations capture relevant aspects of messages for predicting the future dialogue. The size of 95% CI is within 0.03 for each entry.
['Model', 'Validation Perplexity', 'Test Perplexity']
Here, we investigate specific issues that the model improved on, and identify remaining challenges. We analyzed 1000 dialogues between our Full and the Hierarchical baseline.