RUI: CRI: CI-ADDO-EN: Collaborative Research: MASC: A Community Resource For and By the People

RUI：CRI：CI-ADDO-EN：合作研究：MASC：人民的社区资源

• 批准号: 1059246
• 负责人: Rebecca Passonneau
• 金额: $ 8.62万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1059246&HistoricalAwards=false
• 关键词: RUI; CRI; CI; ADDO; EN

The Manually Annotated Sub-Corpus (MASC) is a shared corpus that supports research acrossseveral disciplines: linguistics, computational linguistics, psycholinguistics, sociolinguistics andmachine learning. It includes a wide variety of present-day American English texts annotated forseveral linguistic phenomena. Because MASC provides a unique resource, considerablecommunity momentum has grown up around it. This project builds upon this momentum toenable the corpus to grow on its own, and to address the need for additional annotations. Themajor activities are to : (1) provide web-based mechanisms to facilitate community contributionand use of MASC annotations; (2) develop means to more fully automate the annotationvalidation process; (3) extend the WordNet annotations to cover adjectives, to support researchon evaluation of ?subjective? annotations and harmonization of WordNet with other resources;(3) promote use of MASC and new annotations by diverse groups, by sponsoring shared tasksthat exploit the corpus? unique characteristics and supporting beta-testers of software, data, andannotations; and (4) aggressively develop an ?Open Language Data? community around MASCthrough workshops, tutorials, and active participation in relevant community activities.MASC provides an unparalleled resource for training and testing of tools for natural languageprocessing, which can enable a major leap in the productivity of NLP research and ultimatelyimpact the way people use and interact with computers. It is the first fully open, communitydrivenresource in the field. All data and annotations are freely distributed in a manner thatpermits immediate and easy accessibility for users around the globe.

人工注释子语料库（MASC）是一个共享语料库，支持多个学科的研究：语言学，计算语言学，心理语言学，社会语言学和机器学习。它包括各种各样的当代美国英语文本注释几种语言现象。由于MASC提供了一个独特的资源，可扩展性的势头已经围绕它成长起来。这个项目建立在这个势头之上，使语料库能够自己成长，并解决额外注释的需求。主要活动包括：（1）提供基于网络的机制，以促进社区贡献和使用MASC注释;（2）开发手段，以更充分地自动化注释验证过程;（3）扩展WordNet注释，以涵盖形容词，以支持研究评价？主观？注释和协调WordNet与其他资源;（3）促进使用MASC和新的注释由不同的群体，通过赞助共享taskthat利用语料库？独特的特性和支持软件，数据和注释的beta测试;和（4）积极开发一个？开放语言数据？通过研讨会，教程和积极参与相关的社群活动，MASC为自然语言处理工具的培训和测试提供了无与伦比的资源，这可以使NLP研究的生产力实现重大飞跃，并最终影响人们使用和与计算机交互的方式。这是该领域第一个完全开放的社区驱动资源。所有的数据和注释都是以一种允许地球仪用户立即和容易访问的方式免费分发的。