We use seven baselines: a) lexical substitution method (AI-KU) and b) nonparametric HDP model (Unimelb) as reported in (Jurgens and Klapaftis 2013) , c) Sense-Topic Model STM, d) STM with word2vec weights (STM+w2v) as reported in (<cite>Wang et al. 2015</cite>) , e) Word Graph embeddings (WG), f) Distributional Inclusion Vector Embedding (DIVE) as reported in (Chang et al. 2018) , and g) Multi Context Continuous model MCC as reported in (Komninos and Manandhar 2016) .