Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance

13 Oct 2020 Xi Chen Nan Ding Tomer Levinboim Radu Soricut

Recent advances in automatic evaluation metrics for text have shown that deep contextualized word representations, such as those generated by BERT encoders, are helpful for designing metrics that correlate well with human judgements. At the same time, it has been argued that contextualized word representations exhibit sub-optimal statistical properties for encoding the true similarity between words or sentences... (read more)

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