Exploring Automatic Text Simplification of German Narrative Documents

2023-12-15 · Thorben Schomacker, Tillmann Dönicke, Marina Tropmann-Frick

In this paper, we apply transformer-based Natural Language Generation (NLG) techniques to the problem of text simplification. Currently, there are only a few German datasets available for text simplification, even fewer with larger and aligned documents, and not a single one with narrative texts. In this paper, we explore to which degree modern NLG techniques can be applied to German narrative text simplifications. We use Longformer attention and a pre-trained mBART model. Our findings indicate that the existing approaches for German are not able to solve the task properly. We conclude on a few directions for future research to address this problem.

📄 PDF Abstract BibTeX arXiv:2312.09907

Code (1)

tschomacker/aligned-narrative-documents 공식 구현

Tasks

Text Generation Text Simplification

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Multi-Head Attention 설명 없음

Attention 설명 없음

Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.

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Residual Connection 설명 없음

AdamW AdamW is a stochastic optimization method that modifies the typical implementation of weight decay in Adam, by decoupling [weight…

Weight Decay 설명 없음

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