Aurélien Max , associate professor at Université Paris Sud, Orsay, France
Natural language allows for a large variety of expressions to formulate a given content. One of the major challenges that Natural Language Processing applications face is the ability to recognize and/or appropriately generate paraphrases. We will present an overview of such applications, and describe some of the work conducted at LIMSI-CNRS on the acquisition of paraphrase from a variety of corpus types. In a second part, we will present in some details our work in two areas: assisting writers during text revision, and automatically generating alternative expressions to improve the translatability of a given text. We will conclude by describing some ongoing and future work, focusing on the difficult problems that we have identified.