Work

A German Corpus for Text Similarity Detection Tasks

Year: 2017

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1703.03923

Authors: Torres-Moreno, Juan-Manuel, Sierra, Gerardo, Peinl, Peter

Institutions: Université d'Avignon et des Pays de Vaucluse, Polytechnique Montréal, Fulda University of Applied Sciences

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Consejo Nacional de Ciencia y Tecnología, Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México

Award: G4722271715

OpenAlex ID: W2595510158

Cites: 8

Cited by: 2

Related to: 20