Knowledge-based methods (Lesk, 1986;Moro et al., 2014;Basile et al., 2014) exploit the lexical knowledge like gloss to infer the correct senses of ambiguous words in the context.
supervised feature-based methods (Zhi and Ng, 2010;Iacobacci et al., 2016) and neural-based methods (Kågebäck and Salomonsson, 2016;Raganato et al., 2017a) usually use labeled data to train one or more classifiers.