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REU Site: Language, Cognition and Computation

REU 网站：语言、认知和计算

基本信息

批准号：
1659585
负责人：
Michael Frank
金额：
$ 28.32万
依托单位：
Stanford University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-06-15 至 2020-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659585&HistoricalAwards=false
关键词：
REU Site Language Cognition Computation

项目摘要

This site is supported by the Department of Defense in partnership with the NSF's Research Experiences for Undergraduates (REU) Sites program. The REU program has both scientific and societal benefits integrating research and education. Recent developments in cognitive science have led to breakthrough new scientific results and are providing the basis for exciting new applications in areas like social computing and assistive technologies. These developments present a challenge for education, however. Even at top research universities, students are hard-pressed to receive the appropriate training; the situation is even more difficult at institutions that do not provide extensive research training. This REU addresses this challenge. Based at Stanford's Center for the Study of Language and Information (CSLI), a top institution for interdisciplinary cognitive science, the program provides talented undergraduates from diverse backgrounds with both an opportunity to do mentored research in a top laboratory and a supportive program framework that includes technical training, professional development, and academic discussion.The scientific and technological innovations motivating this REU derive from a convergence within the core disciplines of cognitive science -- psychology, linguistics, and computer science -- around themes of uncertainty, approximation, and learning. As psychology and linguistics are becoming more computational, computation is returning to its cognitive roots. Artificial intelligence techniques developed in psychology are undergoing a resurgence in machine learning, and natural language processing models of syntactic structure are becoming the standard cognitive modeling frameworks in psycholinguistics. The prerequisites for research in this new intellectual environment include an understanding of how the mind works, familiarity with the nature of human language and communication, proficiency in statistical analysis, and advanced programming skills. Yet a classic psychology or linguistics degree provides almost no programming or technical experience, and a standard computer science education doesn't include any content on how the mind works. This REU fills such gaps in the training of undergraduates and helps to foster a new, more diverse generation of researchers entering cognitive science.

该网站由国防部与NSF的本科生研究经验(REU)网站计划合作支持。REU计划将研究和教育结合在一起，具有科学和社会效益。认知科学的最新发展带来了突破性的新科学成果，并为社会计算和辅助技术等领域令人兴奋的新应用提供了基础。然而，这些事态发展对教育提出了挑战。即使在顶尖研究型大学，学生也很难接受适当的培训；在不提供广泛研究培训的机构，情况更加困难。该REU解决了这一挑战。该项目位于跨学科认知科学的顶尖学府斯坦福语言与信息研究中心(CSLI)，为来自不同背景的有才华的本科生提供在顶级实验室进行指导研究的机会，以及包括技术培训、专业发展和学术讨论在内的支持性项目框架。推动该REU的科技创新源于认知科学核心学科--心理学、语言学和计算机科学--围绕不确定性、近似性和学习等主题的融合。随着心理学和语言学变得越来越计算化，计算正在回归其认知根源。心理学中发展起来的人工智能技术正在机器学习中复兴，句法结构的自然语言处理模型正在成为心理语言学的标准认知建模框架。在这种新的智力环境中进行研究的先决条件包括了解大脑是如何工作的，熟悉人类语言和交流的性质，熟练掌握统计分析，以及高级编程技能。然而，经典的心理学或语言学学位几乎不提供编程或技术经验，标准的计算机科学教育也不包括任何关于大脑如何工作的内容。REU填补了本科生培训方面的空白，并有助于培养进入认知科学的新一代、更多样化的研究人员。

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Parallel Worlds: Repeated Initializations of the Same Team to Improve Team Viability

平行世界：同一团队的重复初始化，提高团队生存能力

DOI：
10.1145/3392877
发表时间：
2020
期刊：
Proceedings of the ACM on Human-Computer Interaction
影响因子：
0
作者：
Whiting, Mark E.;Gao, Irena;Xing, Michelle;Diarrassouba, N'godjigui Junior;Nguyen, Tonya;Bernstein, Michael S.
通讯作者：
Bernstein, Michael S.

Generating Bilingual Pragmatic Color References

生成双语实用颜色参考