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Previous works demonstrated that Automatic Text Summarization (ATS) bysentences extraction may be improved using sentence compression. In this workwe present a sentence compressions approach guided by level-sentence discoursesegmentation and probabilistic language models (LM). The results presented hereshow that the proposed solution is able to generate coherent summaries withgrammatical compressed sentences. The approach is simple enough to betransposed into other languages.

Sentence Compression in Spanish driven by Discourse Segmentation and Language Models