课题基金 / 基金详情

EMNLP 2016 Student Scholarship Program

EMNLP 2016 Student Scholarship Program
EMNLP 2016年学生奖学金计划
批准号:
1653286
负责人:
Vincent Ng
金额:
$0.75万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2017-08-31

项目摘要

项目成果

Vincent Ng的其他基金

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中文摘要
翻译
作为2016年自然语言处理经验方法会议(EMNLP)的一部分,EMNLP 2016年学生奖学金计划为参加会议的选定学生提供奖学金,补贴旅行,会议和住房费用,优先考虑经济困难的学生,否则可能无法参加。通过汇集来自世界各地的具有NLP科学和工程知识的学生研究人员,这些奖学金允许获奖者与该领域的其他研究人员接触,讨论研究思路,获得对他们工作的关键反馈,并可能与他们建立合作。这为学生提供了宝贵的专业成长机会。从长远来看,学生奖学金计划可以为维护和发展多样化的计算自然语言人才队伍做出贡献。EMNLP由计算语言学协会的语言数据和基于语料库的NLP方法特别兴趣小组SIGDAT组织,是NLP和机器学习交叉的年度会议。自二十年前成立以来,EMNLP已逐渐建立了其作为NLP首要会议之一的声誉,吸引了该领域一些最好的计算研究人员。因此,通过这个开创性的NSF赞助的学生奖学金计划,SIGDAT与NSF建立长期关系将是有益的,如果成功,可以成为未来EMNLP会议的一个组成部分。
英文摘要
Established as part of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), the EMNLP 2016 Student Scholarship Program offers scholarships that subsidize travel, conference and housing expenses to selected students attending the conference, with preference given to financially needy students who may otherwise not be able to attend. By bringing together a pool of student researchers with the scientific and engineering knowledge of NLP from all over the world, these scholarships allow the awardees to make contact with other researchers in the field, discuss research ideas, receive critical feedback on their work, and possibly establish collaborations with them. This provides the students involved with invaluable opportunities for professional growth. In the long run, the Student Scholarship Program can contribute to the maintenance and development of a diverse computational natural language workforce.Organized by SIGDAT, the Association for Computational Linguistics' special interest group for linguistic data and corpus-based approaches to NLP, EMNLP is an annual conference at the intersection of NLP and machine learning. Since its inception two decades ago, EMNLP has gradually established its reputation as one of the premier conferences in NLP that attracts some of the best computational researchers in the field. It would therefore be beneficial for SIGDAT to establish a long-term relationship with the NSF through this pioneering NSF-sponsored Student Scholarship Program, which, if successful, can become an integral part of future EMNLP conferences.
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会议论文
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