EMNLP 2016 Student Scholarship Program

作为2016年自然语言处理经验方法会议(EMNLP)的一部分，EMNLP 2016学生奖学金计划为参加会议的选定学生提供奖学金，补贴旅费、会议费和住宿费，优先考虑经济困难的学生，否则他们可能无法参加会议。通过汇集来自世界各地的学生研究人员和NLP的科学和工程知识，这些奖学金允许获奖者与该领域的其他研究人员联系，讨论研究想法，接收对他们工作的批判性反馈，并可能与他们建立合作关系。这为参与其中的学生提供了宝贵的职业成长机会。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工作力量做出贡献。EMNLP由计算语言学协会的语言数据和基于语料库的自然语言处理方法特别兴趣小组SIGDAT组织，是自然语言处理和机器学习的交汇点上的年度会议。自二十年前成立以来，EMNLP逐渐确立了其作为NLP主要会议之一的声誉，吸引了该领域一些最优秀的计算研究人员。因此，SIGDAT通过这一由NSF赞助的开创性学生奖学金计划与NSF建立长期关系将是有益的，如果成功，该计划将成为未来EMNLP会议不可或缺的一部分。

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.