Abstractive Summarization for the Ukrainian Language: Multi-Task Learning with Hromadske.ua News Dataset
Svitlana Galeshchuk · 2023
Despite recent NLP developments, abstractive summarization remains a challenging task, especially in the case of low-resource languages like Ukrainian.The paper aims at improving the quality of summaries produced by mT5 for news in Ukrainian by fine-tuning the model with a mixture of summarization and text similarity tasks using summary-article and titlearticle training pairs, respectively.The proposed training set-up with small, base, and large mT5 models produce higher quality résumé.Besides, we present a new Ukrainian dataset for the abstractive summarization task that consists of circa 36.5Karticles collected from Hromadske.uauntil