In this paper, we build a hybrid Web-based metric for computing semantic relatedness between words. The method exploits page counts, titles, snippets and ...
In this paper, we build a hybrid Web-based metric for computing semantic relatedness between words. The method exploits page counts, titles, snippets and ...
A hybrid Web-based metric for computing semantic relatedness between words, which achieves an overall correlation of 0.88, which is the highest among other ...
The semantic similarity measure is the ability to determine the similarity between various terms such as words, sentences, documents, concepts or instances. The ...
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Ishizuka: Measuring semantic similarity between words using web search engines. ... Evaluating wordnet-based measures of lexical semantic relatedness.
A Hybrid Web-Based Measure for Computing Semantic Relatedness ...
colab.ws › articles › ICTAI.2009.64
A Hybrid Web-Based Measure for Computing Semantic Relatedness Between Words. Spanakis G., Siolas G., Stafylopatis A.
A method for measuring semantic similarity between words as a new tool for text analysis on a semantic network constructed systematically from a subset of ...
Based on the assumption that different aspects of knowledge sources cover different kinds of semantic relations, this paper presents a hybrid model for ...
In this study, we propose a hybrid method (HydMethod) which considers not only semantic information including lexical databases, word embeddings, and corpus ...
The proposed method for measuring semantic similarity between a given pair of words . We proceed in three phases: 1. The calculation of the similarity . (SD) ...