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This paper presents the team BRUMS submission to SemEval-2020 Task 3: GradedWord Similarity in Context. The system utilises state-of-the-art contextualisedword embeddings, which have some task-specific adaptations, including stackedembeddings and average embeddings. Overall, the approach achieves goodevaluation scores across all the languages, while maintaining simplicity.Following the final rankings, our approach is ranked within the top 5 solutionsof each language while preserving the 1st position of Finnish subtask 2.

BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity