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

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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.