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Automatically Representing TExt Meaning via an Interlingua-based System (ARTEMIS). A further step towards the computational representation of RRG

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Automatically Representing TExt Meaning via an Interlingua-based System (ARTEMIS). A further step towards the computational representation of RRG

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dc.contributor.author Mairal-Usón, Ricardo es_ES
dc.contributor.author Cortés-Rodríguez, Francisco es_ES
dc.date.accessioned 2017-07-07T07:19:03Z
dc.date.available 2017-07-07T07:19:03Z
dc.date.issued 2017-06-26
dc.identifier.uri http://hdl.handle.net/10251/84659
dc.description.abstract [EN] Within the framework of FUNK Lab – a virtual laboratory for natural language processing inspired on a functionally-oriented linguistic theory like Role and Reference Grammar-, a number of computational resources have been built dealing with different aspects of language and with an application in different scientific domains, i.e. terminology, lexicography, sentiment analysis, document classification, text analysis, data mining etc. One of these resources is ARTEMIS (Automatically Representing TExt Meaning via an Interlingua-Based System), which departs from the pioneering work of Periñán-Pascual (2013) and Periñán-Pascual & Arcas (2014). This computational tool is a proof of concept prototype which allows the automatic generation of a conceptual logical structure (CLS) (cf. Mairal-Usón, Periñán-Pascual and Pérez 2012; Van Valin and Mairal-Usón 2014), that is, a fully specified semantic representation of an input text on the basis of a reduced sample of sentences. The primary aim of this paper is to develop the syntactic rules that form part of the computational grammar for the representation of simple clauses in English. More specifically, this work focuses on the format of those syntactic rules that account for the upper levels of the RRG Layered Structure of the Clause (LSC), that is, the core (and the level-1 construction associated with it), the clause and the sentence (Van Valin 2005). In essence, this analysis, together with that in Cortés-Rodríguez and Mairal-Usón (2016), offers an almost complete description of the computational grammar behind the LSC for simple clauses. es_ES
dc.description.sponsorship Financial support for this research has been provided by the Spanish Ministry of Economy, Competitiveness and Science, grant FFI2014-53788-C3-1-P
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof Journal of Computer-Assisted Linguistic Research
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Role and Reference Grammar es_ES
dc.subject Computational grammars es_ES
dc.subject The layered structure of the clause es_ES
dc.subject Syntactic rules es_ES
dc.subject Lexical rules es_ES
dc.subject Constructional rules es_ES
dc.subject Attribute-value matrix es_ES
dc.subject Conceptual modeling es_ES
dc.title Automatically Representing TExt Meaning via an Interlingua-based System (ARTEMIS). A further step towards the computational representation of RRG es_ES
dc.type Artículo es_ES
dc.date.updated 2017-07-07T07:00:11Z
dc.identifier.doi 10.4995/jclr.2017.7788
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//FFI2014-53788-C3-1-P/ES/DESARROLLO DE UN LABORATORIO VIRTUAL PARA EL PROCESAMIENTO COMPUTACIONAL DEL LENGUAJE NATURAL DESDE UN PARADIGMA FUNCIONAL/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Mairal-Usón, R.; Cortés-Rodríguez, F. (2017). Automatically Representing TExt Meaning via an Interlingua-based System (ARTEMIS). A further step towards the computational representation of RRG. Journal of Computer-Assisted Linguistic Research. 1(1):61-87. https://doi.org/10.4995/jclr.2017.7788 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/jclr.2017.7788 es_ES
dc.description.upvformatpinicio 61 es_ES
dc.description.upvformatpfin 87 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 1
dc.description.issue 1
dc.identifier.eissn 2530-9455
dc.contributor.funder Ministerio de Economía y Competitividad


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