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Milán Konor Nyist

1 accepted papers

2024

From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization

COLING 2024main

Training summarization models requires substantial amounts of training data. However for less resourceful languages like Hungarian, openly available models and datasets are notably scarce. To address this gap our paper introduces an open-source Hungarian corpus suitable for training abstractive and…