A German Corpus for Text Similarity Detection Tasks
Information Retrieval
2017-03-14 v1 Computation and Language
Abstract
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.
Keywords
Cite
@article{arxiv.1703.03923,
title = {A German Corpus for Text Similarity Detection Tasks},
author = {Juan-Manuel Torres-Moreno and Gerardo Sierra and Peter Peinl},
journal= {arXiv preprint arXiv:1703.03923},
year = {2017}
}
Comments
1 figure; 13 pages