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 19-nov-2024