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A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph
Unlike other algorithms, the SCSMM algorithm guarantees the capture of the maximum sentence context while maintaining the terms' order within the sentence.
Exploiting Non-Taxonomic Relations for Measuring Semantic Similarity and Relatedness in WordNet
Various applications in the areas of computational linguistics and artificial intelligence employ semantic similarity to solve challenging tasks, such as word sense disambiguation, text classification, information retrieval, machine translation, and document clustering.
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