Split and Rephrase

Shashi Narayan, Claire Gardent, Shay Cohen, Anastasia Shimorina

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

Abstract / Description of output

We propose a new sentence simplification task (Split-and-Rephrase) where the aim is to split a complex sentence into a meaning preserving sequence of shorter sentences. Like sentence simplification, splitting-and-rephrasing has the potential of benefiting both natural language processing and societal applications. Because shorter sentences are generally better processed by NLP systems, it could be used as a preprocessing step which facilitates and improves the performance of parsers, semantic role labellers and machine translation systems. It should also be of use for people with reading disabilities because it allows the conversion of longer sentences into shorter ones. This paper makes two contributions towards this new task. First, we create and make available a benchmark consisting of 1,066,115 tuples mapping a single complex sentence to a sequence of sentences expressing the same meaning. Second, we propose five models (vanilla sequence-to-sequence to semantically-motivated models) to understand the difficulty of the proposed task.
Original languageEnglish
Title of host publicationThe 2017 Conference on Empirical Methods on Natural Language Processing (EMNLP)
PublisherAssociation for Computational Linguistics (ACL)
Pages606-616
Number of pages11
DOIs
Publication statusPublished - 11 Sept 2017
EventEMNLP 2017: Conference on Empirical Methods in Natural Language Processing - Copenhagen, Denmark
Duration: 7 Sept 201711 Sept 2017
http://emnlp2017.net/index.html
http://emnlp2017.net/

Conference

ConferenceEMNLP 2017: Conference on Empirical Methods in Natural Language Processing
Abbreviated titleEMNLP 2017
Country/TerritoryDenmark
CityCopenhagen
Period7/09/1711/09/17
Internet address

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