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Idiap Abstract Text Summarization System for German Text Summarization Task
Swiss Text Analytics Conference
Text summarization is considered as a challenging task in the NLP community. The availability of datasets for the task of multilingual text summarization is rare, and such datasets are difficult to construct. In this work, we build an abstract text summarizer for the German language text using the state-of-the-art "Transformer" model. We propose an iterative data augmentation approach which uses synthetic data along with the real summarization data for the German language. To generate syntheticdblp:conf/swisstext/ParidaM19 fatcat:vhid4l7h2jgpdiycmkipjnrjsy