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Conference Papers Year : 2016

Unsupervised Sentence Simplification Using Deep Semantics

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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.
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Dates and versions

hal-01623829 , version 1 (25-10-2017)

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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, ⟨10.18653/v1/W16-6620⟩. ⟨hal-01623829⟩
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