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Traditionally, Text Simplification is treated as a monolingual translationtask where sentences between source texts and their simplified counterparts arealigned for training. However, especially for longer input documents,summarizing the text (or dropping less relevant content altogether) plays animportant role in the simplification process, which is currently not reflectedin existing datasets. Simultaneously, resources for non-English languages arescarce in general and prohibitive for training new solutions. To tackle thisproblem, we pose core requirements for a system that can jointly summarize andsimplify long source documents. We further describe the creation of a newdataset for joint Text Simplification and Summarization based on GermanWikipedia and the German children's lexicon "Klexikon", consisting of almost2900 documents. We release a document-aligned version that particularlyhighlights the summarization aspect, and provide statistical evidence that thisresource is well suited to simplification as well. Code and data are availableon Github: https://github.com/dennlinger/klexikon

Klexikon: A German Dataset for Joint Summarization and Simplification