Fuzzy Rough Set Span based Unsupervised Word Sense Disambiguation

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”

NLP for Social Good: Research Paper Review

Aim: In this article I discuss a research paper by  Lin et al (2021) [1] named “How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact”.    This paper presents an in-depth overview of research areas for NLP in 2020,  effect of research in NLP on targets for aContinue reading “NLP for Social Good: Research Paper Review”