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This is the German-language argument similarity dataset accompanying our paper titled Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments (to be presented at LREC 2022). It consists of 2940 argumentative pairs of text snippets in German which are annotated for argument similarity on a scale from 0 (no similarity) to 4 (high similarity). The snippets cover arguments on 3 discussion topics. Please refer to the paper for details.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 5 |

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