Based on Hypothesis 1, we learn sense-based embeddings from a large data set, using the Continuous Skip-gram model (Mikolov et al., 2013).
we first apply WSD to link each word to its sense in WordNet using a state-of-the-art tool (Zhong and Ng, 2010), and map WordNet sense output to OntoNotes senses.