Workshop: Support for a workshop on scientific research applications of natural language technologies

这是为将于2014年6月26日在巴尔的摩举行的计算语言学协会（ACL）年会上举行的为期一天的自然语言技术科学研究应用研讨会提供资金。应用计算机科学的一个主要增长领域是将自动化技术应用于大规模数据集，以回答有关人类和社会的科学问题。 虽然这一领域的许多工作都集中在结构化数据或网络数据上，但语言数据也是这些现象的关键证据来源。虽然一些现有的自然语言处理（NLP）技术已经在这个不断增长的社区中得到了应用，但用于发现和分析文本中的社会意义和结构的新技术仍有很高的需求。 NLP研究人员和领域科学家之间的合作将引入新的问题公式和新的理论框架，从而扩大和深化语言技术在社会科学中的应用。演讲和讨论的潜在主题包括（但绝不限于）：从对话和其他语言行为推断社会关系;从文本自动提取事件数据;从文本和语音推断作者和说话者属性;将文本数据集与作者社交网络相关联;跟踪空间、时间和社区上的语言变化;测量语言影响;文学和历史语料库的计算分析;以及通过社交网络跟踪信息、思想和情感的流动。大部分待研究的数据来自网络社区，这是网络人类系统项目的重点。 本次研讨会将增加ACL研究人员的计算社会科学应用领域的知名度，并将有助于建立语言技术人员和社会科学家之间的联系。研讨会的形式旨在促进参与者和受邀演讲者之间的互动，为建立对语言技术和领域科学家感兴趣的社区做出贡献。这种形式对学生参与者特别有益，他们将带着关于指导应用的新想法离开。作为典型的ACL研讨会，档案会议记录将通过ACL选集公开出版。研讨会组织者将报告研讨会情况，综合研讨会的讨论情况，重点放在近期最有潜力的研究专题上。 该报告将公开发布（例如，发布到arXiv，并可能在研讨会后几个月内提交相关期刊发表）。

This is funding for a one-day workshop on scientific research applications of natural language technologies to be held at the annual meeting of the Association for Computational Linguistics (ACL), in Baltimore on June 26, 2014. A major growth area in applied computer science has been the application of automated techniques to massive datasets to answer scientific questions about people and society. Although much work in this area focuses on structured data or network data, linguistic data is also a key source of evidence for these phenomena. While some existing natural language processing (NLP) techniques have found use in this growing community, new techniques for discovering and analyzing social meanings and structures in text are in high demand.Intellectual merit. Engagement between NLP researchers and domain scientists will introduce new problem formulations and new theoretical frameworks that will broaden and deepen applications of language technology to social science. Potential topics for presentations and discussion include (but are by no means limited to): inferring social relations from conversation and other linguistic behavior; automatic extraction of event data from text; inference of author and speaker properties from text and speech; relating text datasets to author social networks; tracking language change over space, time, and communities; measuring linguistic influence; computational analysis of literary and historical corpora; and tracking the flow of information, ideas, and sentiment through social networks. Much of the data to be studied comes from online communities, which are a focus of the Cyber-Human Systems program.Broader Impact. This workshop will increase the visibility of the computational social science application area for ACL researchers and will help build connections between language technologists and social scientists. The workshop¹s format aims at fostering interactions among participants and invited speakers, contributing towards building a community interested in language technologies and domain scientists. This format is especially beneficial to student participants, who will leave with new ideas about guiding applications. As is typical for ACL workshops, an archival proceedings will be published openly through the ACL Anthology. The workshop organizers will report on the workshop, synthesizing the discussion at the workshop with an emphasis on research topics with greatest potential in the near future. The report will be published openly (e.g., posted to arXiv and possibly submitted for publication in a relevant journal) within a few months after the workshop.