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

研讨会：支持自然语言技术科研应用研讨会

• 批准号: 1433108
• 负责人: Noah Smith
• 金额: $ 2.5万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-01 至 2015-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1433108&HistoricalAwards=false
• 关键词: Workshop; Support; workshop; scientific; research

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.

这是针对2014年6月26日在巴尔的摩在巴尔的摩在计算语言学协会（ACL）年度会议上举行的关于自然语言技术科学研究应用的为期一天的研讨会的资金。应用计算机科学的主要增长领域是对自动化技术的应用，是针对大规模数据的应用，以回答有关人和社会的科学问题。尽管该领域的大量工作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。尽管某些现有的自然语言处理（NLP）技术在这个不断发展的社区中发现了使用，但发现和分析文本中的社会含义和结构的新技术却很高。 NLP研究人员与领域科学家之间的参与将引入新的问题表述和新的理论框架，这些框架将扩大和加深语言技术对社会科学的应用。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中推断社会关系；从文本中自动提取事件数据；从文本和语音中推断作者和说话者属性；将文本数据集与作者社交网络有关；跟踪语言在时空，时间和社区中的变化；衡量语言影响；文学和历史语料库的计算分析；并通过社交网络跟踪信息，想法和情感的流动。来自在线社区的研讨会的许多数据是网络人类系统计划的重点。该研讨会将提高ACL研究人员的计算社会科学应用领域的可见性，并有助于建立语言技术与社会科学家之间的联系。研讨会的格式旨在促进参与者和邀请演讲者之间的互动，为建立对语言技术和领域科学家感兴趣的社区做出贡献。这种格式对学生参与者特别有益，他们将留下有关指导申请的新想法。与ACL研讨会的典型活动一样，将通过ACL选集公开发布档案程序。研讨会组织者将在研讨会上报告，综合讲习班的讨论，重点是在不久的将来具有最大潜力的研究主题。该报告将在研讨会后的几个月内公开发布（例如，发布给ARXIV并可能在相关期刊上提交出版）。