  Previous works demonstrated that Automatic Text Summarization (ATS) by
sentences extraction may be improved using sentence compression. In this work
we present a sentence compressions approach guided by level-sentence discourse
segmentation and probabilistic language models (LM). The results presented here
show that the proposed solution is able to generate coherent summaries with
grammatical compressed sentences. The approach is simple enough to be
transposed into other languages.
