We chooses the state-of-the-art two baselines based word embeddings (Glavaš[Glavaš andŠtajner, 2015] and Paetzold-NE<cite> [Paetzold and Specia, 2017a]</cite>) as comparison. From Table 2 , we observe that BERT-LS achieves the best simplification candidates for complex words compared with the two baselines based word embeddings.