A German Corpus for Text Similarity Detection Tasks

نویسندگان

  • Juan-Manuel Torres-Moreno
  • Gerardo Sierra
  • Peter Peinl
چکیده

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.

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عنوان ژورنال:
  • CoRR

دوره abs/1703.03923  شماره 

صفحات  -

تاریخ انتشار 2017