Papers by Clement Rebuffel

1 papers
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation (2021.emnlp-main)

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Challenge: QuestEval is a metric used in text-to-text tasks, but its adaptation to Data-to Text tasks requires multimodal Question Generation and Answering systems, which are seldom available.
Approach: They propose to build synthetic multimodal corpora enabling to train multimodal components for a data-QuestEval metric.
Outcome: The proposed method obtains state-of-the-art correlations with human judgment on the WebNLG and WikiBio benchmarks.

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