Papers by Raphael Lenain

1 papers
Generative Pretraining for Paraphrase Evaluation (2022.acl-long)

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Challenge: ParaBLEU is a paraphrase representation learning model and evaluation metric for text generation.
Approach: They propose a paraphrase representation learning model and evaluation metric for text generation that uses generative conditioning as a pretraining objective.
Outcome: The proposed model outperforms existing models on the 2017 WMT Metrics Shared Task using only 50% of the available training data and surpasses BLEU, ROUGE and METEOR with only 40 examples.

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