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Unsupervised Sentence Simplification Using Deep Semantics

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

Original languageEnglish
Title of host publicationProceedings of The 9th International Natural Language Generation conference
Place of PublicationEdinburgh. UK
PublisherAssociation for Computational Linguistics
Pages111-120
Number of pages10
DOIs
Publication statusPublished - 8 Sep 2016
Event9th International Natural Language Generation conference - Edinburgh, United Kingdom
Duration: 5 Sep 20168 Sep 2016
http://www.macs.hw.ac.uk/InteractionLab/INLG2016/

Conference

Conference9th International Natural Language Generation conference
Abbreviated titleINLG 2016
CountryUnited Kingdom
CityEdinburgh
Period5/09/168/09/16
Internet address

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.

Event

9th International Natural Language Generation conference

5/09/168/09/16

Edinburgh, United Kingdom

Event: Conference

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