HCI and NLP traditionally focus on different evaluation methods. While HCI involves a small number of people directly and deeply, NLP traditionally relies on standardized benchmark evaluations that involve a larger number of people indirectly. We present five methodological proposals at the intersection of HCI and NLP and situate them in the context of ML-based NLP models. Our goal is to foster interdisciplinary collaboration and progress in both fields by emphasizing what the fields can learn from each other.

中文翻译：

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HCI + NLP系统的设计和评估方法

传统上，HCI和NLP专注于不同的评估方法。虽然人机交互直接和深深地涉及到少数人，但NLP传统上依赖于标准化的基准评估，而基准评估间接地涉及了很多人。我们在HCI和NLP的交集处提出了五种方法学建议，并将它们放在基于ML的NLP模型的上下文中。我们的目标是通过强调各个领域可以互相学习的内容，促进这两个领域的跨学科合作和进步。