We use a simple procedure for resolving word senses.
we average all sense embedding vectors of all context words and select the sense z w of the center word w whose embedding vector is most similar to the average vector: where:c The intuition behind this procedure is that we expect the average to preserve a shared component in the embedding vectors, namely embeddings for senses related to the sense of the center word, and cancel out embeddings of unrelated senses.