Abstract
We present experiments using a new unsupervised approach to automatic text simplification, which builds on sampling and ranking via a loss function informed by readability research. The main idea is that a loss function can distinguish good simplification candidates among randomly sampled sub-sentences of the input sentence. Our approach is rated as equally grammatical and beginner reader appropriate as a supervised SMT-based baseline system by native speakers, but our setup performs more radical changes that better resembles the variation observed in human generated simplifications.
Originalsprog | Engelsk |
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Titel | The 51st Annual Meeting of the Association for Computational Linguistics (ACL), Student Research Workshop |
Forlag | Association for Computational Linguistics |
Publikationsdato | 2013 |
Sider | 142-149 |
ISBN (Elektronisk) | 978-1-62748-976-8 |
Status | Udgivet - 2013 |