Unsupervised Sentence Simplification Using Deep Semantics

Shashi Narayan, Claire Gardent

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publicationProceedings of The 9th International Natural Language Generation conference
Place of PublicationEdinburgh. UK
PublisherAssociation for Computational Linguistics
Number of pages10
Publication statusPublished - 8 Sept 2016
Event9th International Natural Language Generation conference - Edinburgh, United Kingdom
Duration: 5 Sept 20168 Sept 2016


Conference9th International Natural Language Generation conference
Abbreviated titleINLG 2016
Country/TerritoryUnited Kingdom
Internet address


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