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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.
|Title of host publication||Proceedings of The 9th International Natural Language Generation conference|
|Place of Publication||Edinburgh. UK|
|Publisher||Association for Computational Linguistics|
|Number of pages||10|
|Publication status||Published - 8 Sep 2016|
|Event||9th International Natural Language Generation conference - Edinburgh, United Kingdom|
Duration: 5 Sep 2016 → 8 Sep 2016
|Conference||9th International Natural Language Generation conference|
|Abbreviated title||INLG 2016|
|Period||5/09/16 → 8/09/16|
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- 2 Finished
1/02/16 → 31/01/19
11/11/14 → 10/02/16