Harmonized string-based and unification-based methodology for text mining and processing
Harmonized string-based and unification-based methodology for text mining and processing
批准号:
262059-2008
负责人:
Keselj, Vlado
金额:
$1.53万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2010
资助国家:
加拿大
项目状态:
已结题
起止时间:
2010-01-01 至 2011-12-31
中文摘要
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英文摘要
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.
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Harmonizing String and Unification-based Methodology with Machine Learning for Text Mining and Processing
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2013
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批准号:262059-2008
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Harmonized string-based and unification-based methodology for text mining and processing
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