# A German Corpus for Text Similarity Detection Tasks

arXiv: https://arxiv.org/abs/1703.03923 · HTML: https://mlsanity.com/paper/1703.03923/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Mar 2017.

## Built on by (most cited first, 2 of 2)

- [Corpus Similarity Measures Remain Robust Across Diverse Languages](https://mlsanity.com/paper/2206.04332/) (2022)
- [Predicting Embedding Reliability in Low-Resource Settings Using Corpus Similarity Measures](https://mlsanity.com/paper/2206.04330/) (2022)

## Abstract (arXiv)

Text similarity detection aims at measuring the degree of similarity between a pair of texts. Corpora available for text similarity detection are designed to evaluate the algorithms to assess the paraphrase level among documents. In this paper we present a textual German corpus for similarity detection. The purpose of this corpus is to automatically assess the similarity between a pair of texts and to evaluate different similarity measures, both for whole documents or for individual sentences. Therefore we have calculated several simple measures on our corpus based on a library of similarity functions.