A computational system implemented exclusively through the spiking of neurons
was recently shown capable of syntax, that is, of carrying out the dependency
parsing of simple English sentences. We address two of the most important
questions left open by that work: constituency (the identification of key parts
of the sentence such as the verb phrase) and the processing of dependent
sentences, especially center-embedded ones. We show that these two aspects of
language can also be implemented by neurons and synapses in a way that is
compatible with what is known, or widely believed, about the structure and
function of the language organ. Surprisingly, the way we implement center
embedding points to a new characterization of context-free languages.

用神经元的波动实现的计算系统最近被证明能够完成英语句子的依赖分析，本文讨论了该工作留下的两个最重要的问题：句法和处理依赖句子，特别是中心嵌入的问题，我们展示了这些语言方面的两个部分也可以通过神经元和突触实现，并且与我们已知的语言机制的结构和功能相容，我们的中心嵌入实现方式有助于提出无上下文语言的新特征。

大脑中的中心嵌入和组成结构及无上下文语言的新特性描述

Center-Embedding and Constituency in the Brain and a New Characterization of Context-Free Languages

Sensemaking and narrative are two inherently interconnected concepts about
how people understand the world around them. Sensemaking is the process by
which people structure and interconnect the information they encounter in the
world with the knowledge and inferences they have made in the past. Narratives
are important constructs that people use sensemaking to create; ones that
reflect provide a more holistic account of the world than the information
within any given narrative is able to alone. Both are important to how human
beings parse the world, and both would be valuable for a computational system
attempting to do the same. In this paper, we discuss theories of sensemaking
and narrative with respect to how people build an understanding of the world
based on the information they encounter, as well as the links between the
fields of sensemaking and narrative research. We highlight a specific
computational task, visual storytelling, whose solutions we believe can be
enhanced by employing a sensemaking and narrative component. We then describe
our system for visual storytelling using sensemaking and narrative and discuss
examples from its current implementation.

介绍人类理解世界的两个概念：Sensemaking 和 narrative。分析它们与信息、计算机系统和视觉叙事之间的联系，并提出利用 Sensemaking 和 narrative 组件来增强视觉叙事解决方案的想法。最后讨论了目前使用 Sensemaking 和 narrative 的系统的实现和示例。