A method for the computation of the semantic similarity and relatedness between natural language words
作者： A. V. Anisimov , O. O. Marchenko , V. K. Kysenko
DOI: 10.1007/S10559-011-9334-2
关键词:
摘要: This paper develops methods for calculating the semantic similarity (closeness)-relatedness of natural language words. The concept relatedness allows one to construct algorithmic models context-linguistic analysis with a view solving problems such as word sense disambiguation, named entity recognition, text analysis, etc. A new algorithm is proposed estimating distance between method weighted modification well-known Lesk approach based on lexical intersection glossary entries.
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