Using ICLR 2022/2023 reviewer novelty scores as labels, the study reports that the introduction, results, and discussion sections form the most effective input combination for automated novelty prediction.
(Eds.), Proceedings of the 40 24th Annual Conference of the European Association for Machine Trans- lation, European Association for Machine Translation, Tampere, Finland
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SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers
Using ICLR 2022/2023 reviewer novelty scores as labels, the study reports that the introduction, results, and discussion sections form the most effective input combination for automated novelty prediction.