This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs" published in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), July 9-14, 2023.
Thank you for this great contribution to the problem of cross-lingual summarization.
I evaluated both mT5_m2m_crossSum and mT5_m2m_crossSum_enhanced in a few language pairs and confirmed that the enhanced model actually has significantly higher ROUGE scores. I am curious to learn more about the specific training process of the enhanced model. Was the improvement primarily the result of an extensive hyperparameter search, or did you employ any additional training techniques that were not detailed in the paper?
Hi,
Thank you for this great contribution to the problem of cross-lingual summarization.
I evaluated both
mT5_m2m_crossSumandmT5_m2m_crossSum_enhancedin a few language pairs and confirmed that the enhanced model actually has significantly higher ROUGE scores. I am curious to learn more about the specific training process of the enhanced model. Was the improvement primarily the result of an extensive hyperparameter search, or did you employ any additional training techniques that were not detailed in the paper?Thank you in advance for your response.
Best, Diogo