As humans, we use linguistic elements referencing time, such as before or
tomorrow, to easily share past experiences and future predictions. While
temporal aspects of the language have been considered in computational
linguistics, no such exploration has been done within the field of emergent
communication. We research this gap, providing the first reported temporal
vocabulary within emergent communication literature. Our experimental analysis
shows that a different agent architecture is sufficient for the natural
emergence of temporal references, and that no additional losses are necessary.
Our readily transferable architectural insights provide the basis for the
incorporation of temporal referencing into other emergent communication
environments.

人类使用引用时间的语言元素（如昨天或明天）来轻松分享过去的经历和未来的预测。我们的研究通过在紧急通信文学领域进行首次报道的时间词汇提供了对这一差距的研究，实验分析结果表明不同的代理架构足以自然产生时间参考，并且不需要额外的损失。我们的架构见解易于传递，为将时间参考引入其他紧急通信环境提供了基础。

关于新兴交流中的时间参照

On Temporal References in Emergent Communication

Understanding movement described in text documents is important since text
descriptions of movement contain a wealth of geographic and contextual
information about the movement of people, wildlife, goods, and much more. Our
research makes several contributions to improve our understanding of movement
descriptions in text. First, we show how interpreting geographic movement
described in text is challenging because of general spatial terms, linguistic
constructions that make the thing(s) moving unclear, and many types of temporal
references and groupings, among others. Next, as a step to overcome these
challenges, we report on an experiment with human subjects through which we
identify multiple important characteristics of movement descriptions (found in
text) that humans use to differentiate one movement description from another.
Based on our empirical results, we provide recommendations for computational
analysis using movement described in text documents. Our findings contribute
towards an improved understanding of the important characteristics of the
underused information about geographic movement that is in the form of text
descriptions.

研究文本中描述的运动是有挑战性的，由于空间 term，语言构造以及时间参照等多因素影响。研究通过实验，发现人们用来区分不同运动描述的特征，为基于文本的运动计算分析提出了建议。