Workshop Proposal: Content of Linguistic Annotation: Standards and Practices (CLASP)

研讨会提案：语言注释的内容：标准和实践（CLASP）

• 批准号: 0948101
• 负责人: Adam Meyers
• 金额: $ 2.25万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0948101&HistoricalAwards=false
• 关键词: Workshop; Proposal; Content; Linguistic; Annotation

At a September, 2009 NSF-sponsored meeting in New York City, the NLP community is discussing the standardization and harmonization of the content of manual/automatic linguistic annotation. The meeting is building on the results of the previous Computing Research Infrastructure (CRI) award "Towards a Comprehensive Linguistic Annotation of Language" by establishing standards that researchers and developers are likely to follow. These standards govern tokenization, part of speech, head selection and other basic componentsof linguistic content that higher level annotation schema assume in common. Once standards are set, violations should be conscious (not accidental) and researchers should justify any violations. The meeting also aims to set up incentives, in the form of grants for small (e.g., student) projects, because several initial standard-compliant annotation projects could plant the seeds needed for the standards to take root.Intellectual merit: Establishing a common base for linguistic annotation will: (1) make it easier to use, merge and compare different types of annotation (from different transducers, different manual sets of annotation, etc.); (2) make a more rigorous set of annoation standards possible; and (3) facilitate the use of sophisticated natural language informed applications that can draw on annotation created by several different projects simultaneously.Broader impact: This standardization process will bring about greater cooperation among annotation researchers and, as a result, greatly improve the efficiency of such research. This could significantly improve the state of the art of all linguistic processing, and thus, all applications (automatic search, translation, etc.) that rely on the automatic linguistic analysis of text.

2009年9月，在纽约市举行的NSF主办的会议上，NLP社区正在讨论手动/自动语言注释内容的标准化和协调。该会议是建立在以前的计算研究基础设施（CRI）奖的结果“走向语言的综合语言注释”通过建立标准，研究人员和开发人员可能会遵循。这些标准支配着标记化、词性、中心词选择和其他语言内容的基本组成部分，这些都是更高层次的注释模式所共有的。一旦设定了标准，违规行为应该是有意识的（而不是偶然的），研究人员应该证明任何违规行为。会议还旨在以赠款的形式为小规模（例如，智力上的优点：建立语言注释的公共基础将：（1）使其更容易使用、合并和比较不同类型的注释（来自不同的换能器、不同的手动注释集等）; (2)使一套更严格的注释标准成为可能;（3）促进使用复杂的自然语言通知的应用程序，可以同时利用多个不同项目创建的注释。更广泛的影响：这个标准化过程将带来注释研究人员之间更大的合作，从而大大提高此类研究的效率。这可以显着提高所有语言处理的最新技术水平，因此，所有应用程序（自动搜索，翻译等）依赖于文本的自动语言分析。