Papers by Milán Konor Nyist
From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization (2024.lrec-main)
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| Challenge: | Existing models and datasets for training summarization models are limited for less resourceful languages like Hungarian . |
| Approach: | They propose to use a Hungarian corpus for training abstractive and extractive summarization models by cleaning, preprocessing and deduplication. |
| Outcome: | The proposed model trains abstractive and extractive summarization models using the dataset . it will be made publicly available, encouraging replication, further research, and real-world applications across various domains. |