Investigating Machine Learning Approaches For Sentence Compression In Different Application Contexts For Portuguese

Sentence compression aims to produce a shorter version of an input sentence and it is very useful for many Natural Language applications. However, investigations in this field are frequently task focused and for English language. In this paper, we report machine learning approaches to compress sentences in Portuguese. We analyze different application contexts and the available features. Our experiments produce good results, outperforming some previously investigated approaches.