CI: ADDO-EN: Significant Enhancement of the Exisitng Penn Discourse Treebank

CI：ADDO-EN：现有宾夕法尼亚大学话语树库的显着增强

• 批准号: 1059353
• 负责人: Aravind Joshi
• 金额: $ 10万
• 依托单位: University of Pennsylvania
• 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: 2011-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1059353&HistoricalAwards=false
• 关键词: CI; ADDO; EN; Significant; Enhancement

Building large scale annotated resources is crucial for basic and applied research in Natural Language Processing (NLP). Our major long term goal of this project is to make very substantial extensions to an existing unique resource, the Penn Discourse Treebank (PDTB), developed under prior NSF support, augmenting it with a variety of new annotations as well as refining earlier annotations. Our proposed work involves conducting some new annotations and some pilot experiments to confirm the strategies for augmentation. A further goal is to bring together a cross section of potential users of this resource, first to acquaint them with the potential of this resource as well as to get their feedback for guiding further augmentations. Applications of PDTB for the task of summarization have already been made. Future applications are in the areas of information extraction, question-generation, and machine translation among others. On the theoretical side, our resource will prove useful in increased theoretical understanding of discourse structure of language.

构建大规模注释资源对于自然语言处理（NLP）的基础和应用研究至关重要。我们该项目的主要长期目标是对现有的独特资源——Penn Discourse Treebank (PDTB)——在之前的 NSF 支持下开发——进行非常实质性的扩展，用各种新的注释来增强它，并完善早期的注释。我们提出的工作涉及进行一些新的注释和一些试点实验来确认增强策略。进一步的目标是将该资源的潜在用户聚集在一起，首先让他们熟悉该资源的潜力，并获取他们的反馈以指导进一步的增强。 PDTB 在摘要任务中的应用已经完成。未来的应用包括信息提取、问题生成和机器翻译等领域。在理论方面，我们的资源将有助于增强对语言话语结构的理论理解。