But contextualised word embeddings showed a great   As shown in the above section Smooth Inverse Frequency with ELMo and BERT stacked contex-tualised word representations provided the best result.
since we used the cosine similarity between two vectors, the predictions of our model are constrained to follow the cosine curve and are thus not suited for these evaluation metrics.