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

  1. Mairal-Usón, Ricardo
  2. Cortés-Rodríguez, Francisco
Revista:
Journal of Computer-Assisted Linguistic Research

ISSN: 2530-9455

Año de publicación: 2017

Número: 1

Páginas: 61-87

Tipo: Artículo

DOI: 10.4995/JCLR.2017.7788 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Journal of Computer-Assisted Linguistic Research

Objetivos de desarrollo sostenible

Resumen

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.

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Fuente de los datos: Dialnet