Identifying Concepts on Specific Domain by a Unsupervised Graph-Based Approach
作者： Franco Rojas-Lopez , Ivan Lopez-Arevalo , Victor Sosa-Sosa
DOI: 10.1007/978-3-642-28765-7_57
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摘要: This paper presents an unsupervised approach to Word Sense Disambiguation on a specific domain automatically assign the right sense given ambiguous word. The proposed relies integration of two source information: context and semantic similarity information. experiments were carried English test data SemEval 2010 evaluated with variety measures that analyze connectivity graph structure. obtained result using precision recall compared results is currently under another measures, preliminary look promising.
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