Positive thinking is thought to be an important component of self-motivation
in various practical fields such as education and the workplace. Previous work,
including sentiment transfer and positive reframing, has focused on the
positive side of language. However, self-motivation that drives people to reach
their goals has not yet been studied from a computational perspective.
Moreover, negative feedback has not yet been explored, even though positive and
negative feedback are both necessary to grow self-motivation. To facilitate
self-motivation, we propose CArrot and STICk (CASTIC) dataset, consisting of
12,590 sentences with 5 different strategies for enhancing self-motivation. Our
data and code are publicly available at here.

积极思考被认为是自我激励的重要组成部分，在教育和工作等各个实践领域中。我们提出了 CArrot 和 STICk（CASTIC）数据集，旨在促进自我激励。

胡萝卜与大棒：通过正面与负面反馈促使自我激励

Carrot and Stick: Inducing Self-Motivation with Positive & Negative  Feedback

I survey recent progress on a classic and challenging problem in social
choice: the fair division of indivisible items. I discuss how a computational
perspective has provided interesting insights into and understanding of how to
divide items fairly and efficiently. This has involved bringing to bear tools
such as those used in knowledge representation, computational complexity,
approximation methods, game theory, online analysis and communication
complexity

本论文综述了社交选择中一个经典且具有挑战性的问题 -- 不可分割物品的公平分配 -- 的最新进展，并探讨了计算视角如何提供公平高效分配的洞见和理解，其中包括运用知识表示、计算复杂度、近似方法、博弈论、在线分析和通信复杂性的工具。