Abstract : 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.
Type de document :
Communication dans un congrès
The 9th International Natural Language Generation conference, Sep 2016, Edinburgh, United Kingdom. pp.111 - 120, 2016, 〈10.18653/v1/W16-6620〉
https://hal.inria.fr/hal-01623829
Contributeur : Claire Gardent
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Soumis le : mercredi 25 octobre 2017 - 16:58:17
Dernière modification le : mardi 24 avril 2018 - 13:30:47
Document(s) archivé(s) le : vendredi 26 janvier 2018 - 14:52:05
Shashi Narayan, Claire Gardent. Unsupervised Sentence Simplification Using Deep Semantics. The 9th International Natural Language Generation conference, Sep 2016, Edinburgh, United Kingdom. pp.111 - 120, 2016, 〈10.18653/v1/W16-6620〉. 〈hal-01623829〉
