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dc.contributor.author Ferrés, Daniel
dc.contributor.author Marimon, Montserrat
dc.contributor.author Saggion, Horacio
dc.contributor.author AbuRa’ed, Ahmed
dc.date.accessioned 2018-07-24T07:54:19Z
dc.date.available 2018-07-24T07:54:19Z
dc.date.issued 2016
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.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10230/35240
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.
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.language.iso eng
dc.publisher Springer
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.rights © Springer The final publication is available at Springer via https://doi.org/10.1007/978-3-319-41754-7_32
dc.title YATS: Yet Another Text Simplifier
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-41754-7_32
dc.subject.keyword Target word
dc.subject.keyword Relative clause
dc.subject.keyword Word sense disambiguation
dc.subject.keyword Complex word
dc.subject.keyword Subordinate clause
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/621055
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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