Travel Support for North American Summer School for Logic, Language, and Information (NASSLLI)

该项目为研究生和高级本科生参加2020年7月在布兰迪斯大学举办的第十届北美逻辑、语言和信息暑期学校(NASSLLI)提供差旅和住宿支持。NASSLLI为对逻辑、计算机和信息科学、语言学、心理学和哲学之间的接口感兴趣的学生提供了一个独特的教育机会。它将这些学科的教职员工和学生聚集在一起参加课程和研讨会，目的是加深我们对大脑和机器如何用自然语言表达的信息表示、交流、操纵和推理的理解。它还寻求扩大关心这些问题的研究和发展社区，以实现从业人员的性别平等，并使代表性不足的群体更具包容性。NASSLI 2020的主题是语用学和对话的计算建模，是NASSLLI第一次专注于使用自然语言实现人与机器交互的活动。这一更实际的关注补充了NASSLLI在计算机、信息和认知科学方面的传统理论关注，包括了一系列对学生有吸引力的人类和机器智能问题。为了促进学生在为期一周的强化课程中取得成功并参与随后的研讨会，在课程开始前的周末提供了一系列基础主题的强化培训。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project provides travel and lodging support for graduate and advanced undergraduate students to participate in the 10th biennial North American Summer School in Logic, Language, and Information (NASSLLI) at Brandeis University in July 2020. NASSLLI is a unique educational opportunity for students interested in the interfaces between logic, computer and information science, linguistics, psychology, and philosophy. It brings faculty and students in these disciplines together in courses and workshops, with the goal of furthering our understanding of how minds and machines represent, communicate, manipulate and reason with information expressed in natural language. It also seeks to broaden the research and development communities that are concerned with these issues to achieve gender equity among its practitioners, and become more inclusive of underrepresented groups. The theme of NASSLI 2020 is on computational modeling of pragmatics and dialogue, and is the first NASSLLI event that focuses on the implementation of human and machine interactions using natural language. This more practical focus complements NASSLLI’s traditional theoretical concerns in the computer, information and cognitive sciences to include a range of questions in both human and machine intelligence that will be attractive to students. To facilitate the success of students in the week-long intensive courses and participation in the workshops that follow, intensive training in a set of foundational topics is provided during the weekend prior to the start of courses.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.