| pipeline_tag: summarization | |
| license: apache-2.0 | |
| language: | |
| - da | |
| # mT5-base fine-tuned for News article Summarisation ✏️🧾 | |
| [Google's mT5](https://aclanthology.org/2021.naacl-main.41/) for **summarisation** downstream task. | |
| # Model summary | |
| This repository contains a model for Danish abstractive summarisation of news articles. The summariser is based on a language-specific mT5-base. | |
| The model is fine-tuned using an abstractive subset of the DaNewsroom dataset (Varab & Schluter, 2020), according to the binned density categories employed in Newsroom (Grusky et al., 2019). | |
| # References | |
| Grusky, M., Naaman, M., & Artzi, Y. (2018). Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies. ArXiv:1804.11283 [Cs]. http://arxiv.org/abs/1804.11283 | |
| Varab, D., & Schluter, N. (2020). DaNewsroom: A Large-scale Danish Summarisation Dataset. Proceedings of the 12th Language Resources and Evaluation Conference, 6731–6739. https://aclanthology.org/2020.lrec-1.831 | |