We present a novel approach to sentence simplification which departs from previous work in two main ways. First, it requires neither hand written rules nor a training corpus of aligned standard and simplified sentences. Second, sentence splitting operates on deep semantic structure. We show (i) that the unsupervised framework we propose is competitive with four state-of-the-art supervised systems and (ii) that our semantic based approach allows for a principled and effective handling of sentence splitting.
@article{arxiv.1507.08452,
title = {Unsupervised Sentence Simplification Using Deep Semantics},
author = {Shashi Narayan and Claire Gardent},
journal= {arXiv preprint arXiv:1507.08452},
year = {2016}
}