POL ROSELLO

We investigate the problem of style transfer: Given a document D in a style S, and a separate style S', can we produce a new document D' in style S' that preserves the meaning of D? We describe a novel style transfer approach that does not rely on parallel or pseudo-parallel corpora, making use of anchoring-based paraphrase extraction and recurrent neural language models. Language models implemented in Torch7.