Harmonized string-based and unification-based methodology for text mining and processing

用于文本挖掘和处理的基于字符串和统一的统一方法

• 批准号: 262059-2008
• 负责人: Keselj, Vlado
• 金额: $ 1.53万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=503380
• 关键词: Harmonized; string; based; unification; methodology

The importance of information availability and Internet is clearly evident in many areas, from a personal level to a general society effect, such as in economy, health care, or scientific research. While general search engines seem to provide a frequently satisfactory document and site retrieval, based on short ad-hoc queries, there is still an enormous time-consuming manual effort required to gather data, filter it, organize it, and use it in the actual tasks that a user wants to get accomplished. Here, we propose to develop three different core natural language processing methodologies that will make a strong contribution to solving this information management problem. Beside the theoretical results, we develop several tools that actually implement designed solutions, and we also apply these methodologies and tools to specific application areas.

信息可用性和互联网的重要性在许多领域都很明显，从个人层面到一般的社会影响，例如经济，医疗保健或科学研究。虽然一般的搜索引擎似乎提供了一个经常令人满意的文件和网站检索，基于简短的ad-hoc查询，仍然有一个巨大的耗时的手工工作需要收集数据，过滤它，组织它，并使用它在实际的任务，用户想要得到完成。 在这里，我们建议开发三种不同的核心自然语言处理方法，这将为解决这一信息管理问题做出巨大贡献。 除了理论上的结果，我们开发了几个工具，实际上实现设计的解决方案，我们还将这些方法和工具应用到特定的应用领域。