August 2021 DOI: 10.13140/RG.2.2.34423.14249 Summary: Word Sense Disambiguation (WSD) is a challenging AI problem. The solution to which is evolving with primarily supervised learning techniques. However, most of the unsupervised methods still need more reductionism while supervised techniques predominately require huge tagged data for a higher accuracy. This paper presents an unsupervised novel technique for WSD.Continue reading “Fuzzy Rough Set Span based Unsupervised Word Sense Disambiguation”
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