Semantic Relation’s Weight Determination on a Graph Based WordNet

Abstract

Determination of semantic relatedness between two textual items is one of the crucial phases in many Natural LanguageProcessing applications. In this study, a new approach to lexicon based semantic relation determination methods wasexperienced using WordNet 3.0 and Men’s real-life similarity dataset. Men’s test collection was used for thedetermination of the relation weights and determined weights were used in semantic relatedness computation. RG65similarity dataset was used for a benchmark of the proposed method and Spearman correlation 0.81 was gained, takinginto account that retrieving the relations weight using a large scale dataset and testing them with another real-life datasetpromises new perspectives to the determination of the relations weight and to the relatedness computation.