Word Sense Disambiguation Models Emerging Trends: A Comparative Analysis
Nemika Tyagi, Sudeshna Chakraborty, Jyotsna, Aditya Kumar, Nzanzu Katasohire Romeo · Journal of Physics Conference Series · 2022
Abstract Word Sense Disambiguation (WSD) arises due to the presence of ambiguity in the text during the semantic analysis of natural languages. It is a major unsolved problem in the area of Natural Language Processing (NLP) and its applications. This paper explores and reviews WSD algorithms that have contributed to, or created state-of-art solutions in recent years. Moreover, this paper also aims to analyze the recent technological trends in the domain of WSD which can give us leverage to identify the possible future trajectory of the search for better WSD solutions.