Measuring Global Similarity between Texts - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

Measuring Global Similarity between Texts


We propose a new similarity measure between texts which, contrary to the current state-of-the-art approaches, takes a global view of the texts to be compared. We have implemented a tool to compute our textual distance and conducted experiments on several corpuses of texts. The experiments show that our methods can reliably identify different global types of texts.
Fichier principal
Vignette du fichier
1403.4024v3.pdf (1.17 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01087009 , version 1 (25-11-2014)



Uli Fahrenberg, Fabrizio Biondi, Kevin Corre, Cyrille Jegourel, Simon Kongshøj, et al.. Measuring Global Similarity between Texts. SLSP 2014 : Second International Conference on Statistical Language and Speech Processing, Oct 2014, Grenoble, France. pp.220-232, ⟨10.1007/978-3-319-11397-5_17⟩. ⟨hal-01087009⟩
251 View
109 Download



Gmail Facebook X LinkedIn More