Workshop on NLP and Linguistics: finding the common ground

自20世纪90年代初以来，随着机器学习方法的进步和树库、并行语料库等数据资源的可用性，数据驱动的自然语言处理方法（NLP）取得了重大进展。这种数据驱动方法的成功使人们对语言学与NLP的相关性产生了怀疑。相反，NLP技术很少用于语言学研究。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，并确定如何将语言知识纳入NLP系统可以推进NLP的艺术状态，以及NLP如何通过自动收集和分析语言数据来协助语言研究。研讨会将汇集来自语言学和NLP的研究人员，他们对这两个学科都有不同的兴趣。该研讨会于2010年7月16日在瑞典与ACL一起举行。该奖项提供了资金支持，使研讨会能够吸引美国的顶尖研究人员参加瑞典的研讨会，特别是对于通常不参加ACL的语言学家来说，这种支持至关重要。这次研讨会旨在开始语言学家和NLP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持续下去。研讨会和后续活动的最终目标是通过从语言学中引入重要的知识和信息来加速NLP的工作，并打开NLP研究人员对语言学领域内的挑战的眼睛，这些挑战可能受益于尖端的，最先进的NLP。学科之间的交叉授粉只能推动两个方向的发展，否则这些方向将会很晚才出现，或者根本不会出现。

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.