Semantic-Similarity-Using-Search-Engines.pdf (976.85 kB)
Smart Combination of Web Measures for Solving Semantic Similarity Problems
This paper presents two main contributions. The authors propose a novel
technique that beats classic probabilistic techniques for measuring
semantic similarity between terms. This new technique consists of using
not only a search engine for computing web page counts, but a smart
combination of several popular web search engines. The approach is
evaluated on the Miller and Charles and Gracia and Mena benchmark
datasets and compared with existing probabilistic web extraction
techniques.