REU Site: Undergraduate Research on Artificial Intelligence and Text Analysis

REU 网站：人工智能和文本分析本科生研究

• 批准号: 1359008
• 负责人: Sharon Small
• 金额: $ 35.99万
• 依托单位: Siena College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-01 至 2017-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1359008&HistoricalAwards=false
• 关键词: REU; Site; Undergraduate; Research; Artificial

The Siena College Research Experiences for Undergraduates (REU) Site provides unique opportunities for undergraduates to develop research expertise in the field of Artificial Intelligence (AI). The Siena College REU Site environment fosters learning through research by means of faculty advisors and peer mentors. The students work in teams on real problems in information extraction in areas such as information gathering for military and security needs to targeted marketing of products. Especially due to the emerging area of Big Data, this REU program is having an impact on applications that address national and global societal problems, such as medical information retrieval systems that identify people for clinical trials and systems to predict the focus of a groups with adverse intentions from automated text analysis. Teams working in these areas need to have diversity in skills, knowledge, and cultural perspectives, and the Siena REU program is recruiting a wide range of students, including a focus on women and other under-represented groups, so that the students can gain the broad experience needed to address the big problems in today's society. The REU students are involved in research teams with Siena College faculty and student mentors working on projects that are conducted at the Siena College Institute for Artificial Intelligence (SCIAI) in computational linguistics (CL) for information extraction. The projects are improving the state of the art in CL, as well as investigating interesting real-world applications. Students are learning about the nature of scientific research and how to communicate their work in student-authored publications and through presentations at research conferences. The results of the students' work, including transcripts of presentations and copies of posters, are disseminated via the Siena College REU Site website (http://www.siena.edu/reu).

锡耶纳大学本科生研究经验（REU）网站为本科生提供了在人工智能（AI）领域发展研究专业知识的独特机会。锡耶纳学院REU网站环境通过教师顾问和同行导师的研究促进学习。学生们以小组形式合作，解决信息提取领域的实际问题，如军事和安全需求的信息收集，以及产品的定向营销。特别是由于大数据的新兴领域，这个REU项目正在对解决国家和全球社会问题的应用产生影响，例如识别临床试验人员的医疗信息检索系统，以及通过自动文本分析预测具有不良意图的群体焦点的系统。在这些领域工作的团队需要在技能，知识和文化视角方面具有多样性，锡耶纳REU计划正在招募广泛的学生，包括关注女性和其他代表性不足的群体，以便学生能够获得解决当今社会重大问题所需的广泛经验。REU的学生与锡耶纳学院的教师和学生导师一起参与研究团队，在锡耶纳学院人工智能研究所（SCIAI）进行计算语言学（CL）的项目，用于信息提取。这些项目正在改进CL的技术水平，并研究有趣的实际应用程序。学生们正在学习科学研究的本质，以及如何通过学生撰写的出版物和在研究会议上的演讲来交流他们的工作。学生的工作成果，包括演讲文稿和海报副本，将通过锡耶纳学院REU网站（http://www.siena.edu/reu）发布。