In this section, we create odd-man-out solvers from collections of word embeddings.
we experiment with two types of embeddings: (1) traditional word embeddings, which map words to a single vector representation (Subsection 5.2), and (2) sense embeddings, which map words to a set of vectors, each pertaining to a different sense of the word (Subsection 5.3).