Papers with model-based sentence difficulties

1 papers
Norm-Based Curriculum Learning for Neural Machine Translation (2020.acl-main)

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Challenge: Experimental results show that the proposed method outperforms strong baselines in terms of BLEU score (+1.17/+1.56) and training speedup (2.22x/3.33x).
Approach: They propose a norm-based curriculum learning method that measures difficulty, competence and weight of a sentence in a word embedding.
Outcome: The proposed method outperforms baselines in terms of BLEU score (+1.17/+1.56) and training speedup (2.22x/3.33x).

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