Improving WSD using ISR-WN with Relevant Semantic Trees and SemCor Senses Frequency
Yoan Gutiérrez, Sonia Vázquez, Andrés Montoyo · 2011
In this paper we concentrate on the resolution of the semantic ambiguity that arises when a given word has several meanings. This specific task is commonly referred to as Word Sense Disambiguation (WSD). We propose a method that obtains the appropriate senses from a multidimensional analysis (using Relevant Semantic Trees). Our method uses different resources WordNet, WordNet