Workshop on NLP and Linguistics: finding the common ground

NLP 和语言学研讨会：寻找共同点

• 批准号: 1027289
• 负责人: Fei Xia
• 金额: $ 1.7万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1027289&HistoricalAwards=false
• 关键词: Workshop; NLP; Linguistics; finding; common

Since early 1990s, with the advancement of machine learning methods and the availability of data resources such as treebanks and parallel corpora, data-driven approaches to Natural Language Processing (NLP) have made significant progress. The success of such data-driven approaches has cast doubt on the relevance of linguistics to NLP. Conversely, NLP techniques are rarely used to help linguistics studies. The goal of this NSF-sponsored workshop is to carefully examine the relationship between linguistics and NLP and determine how incorporating linguistic knowledge into NLP systems can advance the state of the art of NLP and how NLP can assist linguistic studies through automatic collection and analysis of linguistic data. The workshop will bring together researchers from linguistics and NLP with diverse interests in and across both disciplines. The workshop is held in conjunction with ACL on July 16, 2010 in Sweden. This award provides financial support that allows the workshop to attract top researchers in the US to attend the workshop in Sweden, and the support is crucial especially for linguists who normally do not attend ACL. This workshop is intended to begin collaboration between linguists and NLP researchers that will continue long after the workshop has finished. The ultimate goals of the workshop and follow-up events are to accelerate work in NLP by bringing in important knowledge and information from linguistics, and to open the eyes of NLP researchers to the challenges within the field of linguistics that could benefit from cutting-edge, state-of-the-art NLP.The cross pollination between the disciplines can only push both forward and in directions that otherwise would come much later or not at all.

自20世纪90年代初以来，随着机器学习方法的进步以及树库和平行语料库等数据资源的可获得性，数据驱动的自然语言处理方法取得了重大进展。这种以数据为导向的方法的成功让人怀疑语言学与自然语言处理的相关性。相反，自然语言处理技术很少被用来帮助语言学研究。这个由NSF赞助的研讨会的目标是仔细研究语言学和NLP之间的关系，并确定如何将语言学知识融入NLP系统中，以促进NLP的发展，以及NLP如何通过自动收集和分析语言数据来帮助语言学研究。研讨会将汇聚来自语言学和自然语言规划的研究人员，他们对这两个学科都有不同的兴趣。研讨会于2010年7月16日在瑞典与美国汽车工人联合会联合举办。这一奖项提供资金支持，使研讨会能够吸引美国的顶尖研究人员参加在瑞典举行的研讨会，这种支持对通常不参加acl的语言学家来说尤其关键。这次研讨会的目的是开始语言学家和自然语言研究人员之间的合作，这种合作将在研讨会结束后很长一段时间内继续进行。研讨会和后续活动的最终目标是通过引进语言学的重要知识和信息来加快自然语言处理领域的工作，并让自然语言处理研究人员认识到语言学领域内的挑战，这些挑战可以从尖端的最先进的自然语言处理中受益。各学科之间的交叉授粉只会推动进展，并朝着否则会很晚或根本不会出现的方向发展。