YATS: Yet Another Text Simplifier

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  • dc.contributor.author Ferrés, Danielca
  • dc.contributor.author Marimon, Montserratca
  • dc.contributor.author Saggion, Horacioca
  • dc.contributor.author AbuRa'ed, Ahmed Ghassan Tawfiqca
  • dc.date.accessioned 2018-07-24T07:54:19Z
  • dc.date.available 2018-07-24T07:54:19Z
  • dc.date.issued 2016
  • dc.description Comunicació presentada a la 21st International Conference on Applications of Natural Language to Information Systems (NLDB 2016), celebrada els dies 22 a 24 de juny de 2016 a Salford, Regne Unit.
  • dc.description.abstract We present a text simplifier for English that has been built with open source software and has both lexical and syntactic simplification capabilities. The lexical simplifier uses a vector space model approach to obtain the most appropriate sense of a given word in a given context and word frequency simplicity measures to rank synonyms. The syntactic simplifier uses linguistically-motivated rule-based syntactic analysis and generation techniques that rely on part-of-speech tags and syntactic dependency information. Experimental results show good performance of the lexical simplification component when compared to a hard-to-beat baseline, good syntactic simplification accuracy, and according to human assessment, improvements over the best reported results in the literature for a system with same architecture as YATS.en
  • dc.description.sponsorship This work was funded by the ABLE-TO-INCLUDE project (European Commission CIP Grant No. 621055). Horacio Saggion is (partly) supported by the Spanish MINECO Ministry (MDM-2015-0502).
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Ferrés D, Marimon M, Saggion H, AbuRa'ed A. YATS: Yet Another Text Simplifier. In: Métais E, Meziane F, Saraee M, Sugumaran V, Vadera S, editors. Natural Language Processing and Information Systems. 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016; 2016 Jun 22-24; Salford, UK. Cham (Switzerland): Springer; 2016. 335-42. (LNCS, no. 9612).DOI: 10.1007/978-3-319-41754-7_32
  • dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-41754-7_32
  • dc.identifier.issn 0302-9743
  • dc.identifier.uri http://hdl.handle.net/10230/35240
  • dc.language.iso eng
  • dc.publisher Springerca
  • dc.relation.ispartof Métais E, Meziane F, Saraee M, Sugumaran V, Vadera S, editors. Natural Language Processing and Information Systems. 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016; 2016 Jun 22-24; Salford, UK. Cham (Switzerland): Springer; 2016. 335-42. (LNCS, no. 9612).
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/621055
  • dc.rights © Springer The final publication is available at Springer via https://doi.org/10.1007/978-3-319-41754-7_32
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Target worden
  • dc.subject.keyword Relative clauseen
  • dc.subject.keyword Word sense disambiguationen
  • dc.subject.keyword Complex worden
  • dc.subject.keyword Subordinate clauseen
  • dc.title YATS: Yet Another Text Simplifierca
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/acceptedVersion

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