论文标题
语言基础上的语用学：现象，任务和建模方法
Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches
论文作者
论文摘要
人们严重依靠上下文来丰富意义超出字面上的意义，从而实现简洁但有效的沟通。要成功自然地与人互动，面向用户的人工智能系统将需要类似的语用学技能：依靠各种类型的上下文（从共享的语言目标和惯例到视觉和体现的世界）才能有效地使用语言。我们调查了现有的基础设置和务实的建模方法，并分析了每个工作中的任务目标，环境环境和沟通能力如何丰富语言意义。我们提出了对未来扎根的任务设计的建议，以自然引起务实的现象，并提出了集中于更广泛的交流环境和负担能力的方向。
People rely heavily on context to enrich meaning beyond what is literally said, enabling concise but effective communication. To interact successfully and naturally with people, user-facing artificial intelligence systems will require similar skills in pragmatics: relying on various types of context -- from shared linguistic goals and conventions, to the visual and embodied world -- to use language effectively. We survey existing grounded settings and pragmatic modeling approaches and analyze how the task goals, environmental contexts, and communicative affordances in each work enrich linguistic meaning. We present recommendations for future grounded task design to naturally elicit pragmatic phenomena, and suggest directions that focus on a broader range of communicative contexts and affordances.
