Inter-Annotator Agreement (IAA) is commonly used as a measure of label consistency in natural language processing tasks. However, in real-world scenarios, IAA has various roles and implications beyond its traditional usage. In this paper, we not only consider IAA as a measure of consistency but also as a versatile tool that can be effectively utilized in practical applications. Moreover, we discuss various considerations and potential concerns when applying IAA and suggest strategies for effectively navigating these challenges.

翻译：标注者间一致性（IAA）通常被用作自然语言处理任务中标签一致性的度量指标。然而，在真实场景中，IAA 具有超越其传统用途的多重角色与含义。本文不仅将 IAA 视为一致性的度量标准，更将其视为可在实际应用中有效利用的多功能工具。此外，我们探讨了应用 IAA 时的各类考量与潜在问题，并提出了有效应对这些挑战的策略。