RT info:eu-repo/semantics/article T1 ARTEMIS State of the Art and Future Horizons A1 Díaz Galán, Ana Candelaria A1 Fumero Pérez, María del Carmen A2 Filología Inglesa y Alemana A2 Instituto de Lingüística Andrés Bello. Computational semantics - linguistic engineering (COSLING) Group - ULL K1 Natural Language Processing K1 ARTEMIS K1 FunGramKB K1 computational grammar K1 Role and Reference Grammar AB The syntactic parser ARTEMIS (Automatically Representing Text Meaning via an Interlinguabased System) is a prototype intended to process natural language within the environment of the Functional Grammar Knowledge Base (FunGramKB) (Periñán-Pascual & Arcas-Túnez, 2010). Different from other parsing devices, ARTEMIS is grounded on two functional linguistic models: Role and Reference Grammar (RRG) (Van Valin & La Polla, 1997; Van Valin, 2005) and the Lexical Constructional Model (LCM) (Ruiz de Mendoza & Mairal Usón, 2008). However, certain adjustments have to be made to both models in order to meet the requirements derived from the fact that ARTEMIS follows the paradigm of Unification Grammars, in such a way that to comply with this paradigm, the GDE (Grammar Development Environment) within ARTEMIS needs to integrate two types of constructs: a catalogue of Attribute-Value Matrixes (AVMs) to describe grammatical units, and a set of production rules (grammatical, lexical and constructional) to allow it to produce a feature based grammar. It is the aim of this paper to give an overview of the investigation carried out so far within ARTEMIS in relation to these two aspects. We will do so by revisiting the literature in relation to the adjustments made to the linguistic models, especially to the RRG, and by reviewing the efforts made to describe the units and design the rules necessary for the parsing of simple sentences in English. Our paper will conclude by pointing at prospective research needed for the completion of this project. YR 2017 FD 2017 LK http://riull.ull.es/xmlui/handle/915/37058 UL http://riull.ull.es/xmlui/handle/915/37058 LA en NO http://dx.doi.org/10.20420/rlfe.2017.171 DS Repositorio institucional de la Universidad de La Laguna RD 17-jun-2024