Evaluating Dialogue Systems: A Review of Metrics and Methods
This article reviews various metrics and methods for evaluating dialogue systems, including automatic and human evaluation metrics.
This article reviews various metrics and methods for evaluating dialogue systems, including automatic and human evaluation metrics.
The National Institute of Standards and Technology provides an overview of evaluation metrics for dialogue systems, including accuracy, fluency, and engagement.
This article discusses key metrics for measuring the success of conversational AI systems, including user engagement, conversion rates, and customer satisfaction.
This survey paper provides a comprehensive overview of evaluation metrics and methods for dialogue systems, including task-oriented and conversational dialogue systems.
This course lecture notes provide an overview of metrics for evaluating dialogue systems, including perplexity, BLEU score, and ROUGE score.
This article discusses key metrics for evaluating chatbot performance, including intent recognition, entity extraction, and dialogue flow.
This paper presents a study on using automatic metrics for evaluating dialogue systems, including word embedding-based metrics and machine learning-based metrics.
This article discusses key metrics for measuring the success of conversational interfaces, including user experience, conversion rates, and business outcomes.