Student Participant Support for Conversational Intelligence Summer School 2019
2019 年对话智能暑期学校学生参与者支持
基本信息
- 批准号:1933903
- 负责人:
- 金额:$ 1.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-06-15 至 2019-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
From commercial personal assistants and customer service chatbots to intelligent tutors and voice control interfaces, dialogue systems and conversational agents are presently in high demand in a variety of industries and are becoming ubiquitous in our everyday lives. While recent advances in artificial intelligence have placed some of these practical applications within reach, some tough challenges need be addressed before such systems are able to support human-level conversation. The Conversational Intelligence Summer School (CISS) aims to train young researchers interested in this challenging and exciting field in state-of-the-art techniques and provide them with hands-on skills to develop such applications. This one-week intensive program offers participants the opportunity to build a solid understanding of core conversational AI concepts and techniques, with the goal to train a core of talented practitioners to take on unsolved problems in this domain. This proposal requests funding to subsidize student participation in the 2nd International Summer School for Conversational Intelligence (CISS 2019), to be held at the University of Massachusetts Lowell from June 24 to 29, 2019. Participants will receive hands-on training in contemporary deep learning techniques for developing chit-chat conversational agents, providing (a) exposure to current research trends in AI for conversational agents, which they will be able to use in their own research and (b) practical skills in demand in the industry which they will be able to carry on to the workforce. The program includes a combination of lecture instruction, programming tutorials, invited lectures by top researchers, and supervised project work. Participating students will benefit from the opportunity for interaction with their peers at other domestic and international institutions, as well as instructors and senior organizers. Networking hours following guest lectures allow the students to have close interactions with prominent researchers invited to give guest lectures. The program brings together students and researchers from different countries, exposing participants to a wider range of educational and research perspectives and creating ties that can help to foster future international collaborations. The opportunities provided by this program encourage student participants to continue in their efforts to develop technical expertise and further their interest in careers at the forefront of AI research. Project code, teaching materials, and invited lectures will be made accessible publicly whenever possible in order to increase the impact of this program outside of the audience of immediate participants.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.
从商业个人助理和客户服务聊天机器人到智能导师和语音控制界面,对话系统和会话代理目前在各个行业中需求量很大,并且在我们的日常生活中无处不在。 虽然人工智能的最新进展已经使其中一些实际应用触手可及,但在这些系统能够支持人类级别的对话之前,还需要解决一些坚韧的挑战。 会话智能暑期学校(CISS)旨在培养对这一具有挑战性和令人兴奋的领域感兴趣的年轻研究人员,并为他们提供开发此类应用程序的实践技能。这个为期一周的密集课程为参与者提供了对核心对话式人工智能概念和技术的深入理解的机会,目标是培养一批有才华的从业者,以解决该领域尚未解决的问题。 该提案要求资助学生参加将于2019年6月24日至29日在马萨诸塞州洛厄尔大学举行的第二届国际暑期学校对话智能(CISS 2019)。 参与者将接受当代深度学习技术的实践培训,用于开发聊天会话代理,提供(a)接触当前人工智能会话代理的研究趋势,他们将能够在自己的研究中使用,以及(B)他们将能够继续工作的行业需求的实用技能。该计划包括讲座教学,编程教程,顶级研究人员的邀请讲座和监督项目工作的组合。参与的学生将受益于与其他国内和国际机构的同龄人以及教师和高级组织者互动的机会。客座讲座后的网络时间允许学生与受邀进行客座讲座的杰出研究人员进行密切互动。该计划汇集了来自不同国家的学生和研究人员,使参与者接触到更广泛的教育和研究视角,并建立有助于促进未来国际合作的联系。 该计划提供的机会鼓励学生参与者继续努力发展技术专业知识,并进一步提高他们对人工智能研究前沿职业的兴趣。 项目代码、教学材料和受邀演讲将尽可能公开,以增加该计划在直接参与者之外的影响力。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响力审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Anna Rumshisky其他文献
Tracking the History of Knowledge Using Historical Editions of Encyclopedia
使用百科全书的历史版本追踪知识的历史
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Britannica M. Gronas;Anna Rumshisky;A. Gabrovski;S. Kovaka;H. Chen - 通讯作者:
H. Chen
Complementary Roles of Inference and Language Models in QA
推理和语言模型在 QA 中的互补作用
- DOI:
10.18653/v1/2023.pandl-1.8 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Eric Brill;Susan Dumais;Tom B. Brown;Benjamin Mann;Nick Ryder;Jared D Subbiah;Prafulla Kaplan;A. Dhariwal;Danqi Chen;Adam Fisch;Jason Weston;J. Devlin;Ming;Kenton Lee;Tianyi Li;Mohammad Javad Hosseini;Sabine Weber;Mark Steedman. 2022a;Language Models;Are;Xi Victoria;Todor Lin;Mikel Mihaylov;Artetxe;Tianlu;Shuohui Wang;Daniel Chen;Myle Simig;Na;Yinhan Liu;Myle Ott;Naman Goyal;Jingfei Du;Mandar Joshi;Omer Levy;Mike Lewis;Nick McKenna;Liane Guillou;Mohammad Javad;Sander Bijl de Vroe;Mark Johnson;Yu Meng;Anna Rumshisky;Alexey Ro;Dan Moldovan;S. Harabagiu;Marius Pasca;Rada;Roxana Mihalcea;Richard Girju;Goodrum;Dat Ba Nguyen;Johannes Hoffart;Martin Theobald - 通讯作者:
Martin Theobald
GLML: Annotating Argument Selection and Coercion
GLML:注释参数选择和强制
- DOI:
10.3115/1693756.1693774 - 发表时间:
2009 - 期刊:
- 影响因子:1.5
- 作者:
J. Pustejovsky;Jessica L. Moszkowicz;O. Batiukova;Anna Rumshisky - 通讯作者:
Anna Rumshisky
Adversarial Text Generation Without Reinforcement Learning
无需强化学习的对抗性文本生成
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
David Donahue;Anna Rumshisky - 通讯作者:
Anna Rumshisky
Anna Rumshisky的其他文献
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{{ truncateString('Anna Rumshisky', 18)}}的其他基金
Collaborative Research: Machine Learning for Student Reasoning during Challenging Concept Questions
协作研究:机器学习在挑战性概念问题中帮助学生推理
- 批准号:
2226601 - 财政年份:2023
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
EAGER: Exploring Cognitively Plausible Computational Models for Processing Human Language
EAGER:探索处理人类语言的认知合理计算模型
- 批准号:
1844740 - 财政年份:2018
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
CAREER: Developing an Underspecified Representation for Temporal Information in Text
职业:开发文本中时间信息的未指定表示
- 批准号:
1652742 - 财政年份:2017
- 资助金额:
$ 1.5万 - 项目类别:
Continuing Grant
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