Dialogue Generation

Dialog generation is a task in natural language processing aimed at understanding and generating natural language dialogues to achieve interactive dialogue with humans. This task involves building dialogue systems, such as chatbots, to simulate the human dialogue process and enhance the naturality and fluency of human-computer interaction. Evaluation metrics for dialog generation models include BLEU, ROUGE, and METEOR, but these metrics have weak correlations with human judgments. Therefore, new evaluation methods have emerged, such as Unsupervised and Unreferenced Scoring (USR) and Metric for Automatic Unreferenced Dialogue Evaluation (MaUde), to better measure model performance.