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: 1059312
• 负责人: Nancy Ide
• 金额: $ 16.38万
• 依托单位: Vassar College
• 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 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1059312&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.

手动注释的子科普斯（MASC）是一个共同的语料库，支持研究各学科：语言学，计算语言学，心理语言学，社会语言学和马acine学习。它包括各种各样的美国英语文本，注释了前列语言现象。由于MASC提供了一种独特的资源，因此AxpicalCommunity的动力已经成长。该项目以这种动力为基础，可以自行成长，并满足其他注释的需求。主题活动是：（1）提供基于网络的机制来促进社区贡献和对MASC注释的使用； （2）发展手段以更完全自动化注释验证过程； （3）扩展WordNet注释以涵盖形容词，以支持对“主观”的研究评估？通过赞助共同的任务来利用语料库，将WordNet的注释和协调与其他资源相关；（3）促进不同群体的新注释和新的注释。独特的特征和支持软件，数据，安诺特式的β测试者； （4）积极地开发开放语言数据？ MASC围绕MASCThrough讲习班，教程和积极参与相关的社区活动。提供无与伦比的资源，用于培训和测试自然语言过程的工具，这可以使NLP研究的生产力大大飞跃，并最终影响人们使用和与计算机互动的方式。这是该领域的第一个完全开放的社区驱动力。所有数据和注释均以对全球用户立即易于访问的方式自由分发。