Papers by Marco Ferdinand Salchner
A Survey of Automatic Text Summarization Using Graph Neural Networks (2022.coling-1)
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| Challenge: | Abstractive ATS involves generating factually correct and fluent sentences. |
| Approach: | They provide an overview of the use of graph neural networks (GNNs) for automatic text summarization. |
| Outcome: | The proposed model is based on a set of graph neural networks (GNNs) that are used to generate a concise, correct and fluent summary of a given text. |