Document representation and multilevel measures of document similarity
NAACL-DocConsortium '06: Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: doctoral consortium（2006）
摘要
We present our work on combining large-scale statistical approaches with local linguistic analysis and graph-based machine learning techniques to compute a combined measure of semantic similarity between terms and documents for application in information extraction, question answering, and summarisation.
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关键词
semantic similarity,combined measure,document representation,large-scale statistical approach,multilevel measure,local linguistic analysis,question answering,document similarity,graph-based machine,information extraction,machine learning
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