论文标题
迈向给定等级理论自然语言产生
Toward Givenness Hierarchy Theoretic Natural Language Generation
论文作者
论文摘要
参与与人类对话者对话的具有语言能力的互动机器人必须能够自然而有效地就其环境中的实体进行沟通。这种沟通的一个关键方面是使用放置语言。给定性层次结构（GH）的语言理论表明，人类根据其对话者在对话者心目中使用的认知状态来使用图谱。在先前的工作中，研究人员介绍了GH理论方法，以了解机器人的理解。在本文中，我们描述了如何使用GH的使用方式很大，以促进机器人的过时。
Language-capable interactive robots participating in dialogues with human interlocutors must be able to naturally and efficiently communicate about the entities in their environment. A key aspect of such communication is the use of anaphoric language. The linguistic theory of the Givenness Hierarchy(GH) suggests that humans use anaphora based on the cognitive statuses their referents have in the minds of their interlocutors. In previous work, researchers presented GH-theoretic approaches to robot anaphora understanding. In this paper we describe how the GH might need to be used quite differently to facilitate robot anaphora generation.
