Semantic similarity measure based on multiple ressources
Imen Akermi, Rim Faïz · 2012
The ability to accurately judge the semantic similarity between words is critical to the performance of several applications such as Information Retrieval and Natural Language Processing. Therefore, in this paper we propose a semantic similarity measure that uses in one hand, an online English dictionary provided by the Semantic Atlas project of the French National Centre for Scientific Research (CNRS) and on the other hand, a page counts based metric returned by a social website whose content is generated by users.