Sciweavers

Share
COLING
2008

Rank Distance as a Stylistic Similarity

11 years 2 months ago
Rank Distance as a Stylistic Similarity
In this paper we propose a new distance function (rank distance) designed to reflect stylistic similarity between texts. To assess the ability of this distance measure to capture stylistic similarity between texts, we tested it in two different machine learning settings: clustering and binary classification.
Marius Popescu, Liviu Petrisor Dinu
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where COLING
Authors Marius Popescu, Liviu Petrisor Dinu
Comments (0)
books