ARTEMIS: State of the Art and Future Horizons

The syntactic parser ARTEMIS (Automatically Representing Text Meaning via an Interlingua-based 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 parsi...

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Main Authors: Ana Díaz Galán, Mª del Carmen Fumero Pérez
Format: Article
Language:deu
Published: Universidad de Las Palmas de Gran Canaria 2017-12-01
Series:Revista de Lenguas para Fines Específicos
Subjects:
Online Access:https://ojsspdc.ulpgc.es/ojs/index.php/LFE/article/view/917
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author Ana Díaz Galán
Mª del Carmen Fumero Pérez
author_facet Ana Díaz Galán
Mª del Carmen Fumero Pérez
author_sort Ana Díaz Galán
collection DOAJ
description The syntactic parser ARTEMIS (Automatically Representing Text Meaning via an Interlingua-based 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.
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spelling doaj.art-b9ce265a5fba42b9a4f9d8542f4503352022-12-21T22:10:15ZdeuUniversidad de Las Palmas de Gran CanariaRevista de Lenguas para Fines Específicos1133-11272340-85612017-12-01232ARTEMIS: State of the Art and Future HorizonsAna Díaz Galán0Mª del Carmen Fumero Pérez1Universidad de La LagunaUniversidad de La LagunaThe syntactic parser ARTEMIS (Automatically Representing Text Meaning via an Interlingua-based 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.https://ojsspdc.ulpgc.es/ojs/index.php/LFE/article/view/917Natural Language ProcessingARTEMISFunGramKBcomputational grammarRole and Reference Grammar
spellingShingle Ana Díaz Galán
Mª del Carmen Fumero Pérez
ARTEMIS: State of the Art and Future Horizons
Revista de Lenguas para Fines Específicos
Natural Language Processing
ARTEMIS
FunGramKB
computational grammar
Role and Reference Grammar
title ARTEMIS: State of the Art and Future Horizons
title_full ARTEMIS: State of the Art and Future Horizons
title_fullStr ARTEMIS: State of the Art and Future Horizons
title_full_unstemmed ARTEMIS: State of the Art and Future Horizons
title_short ARTEMIS: State of the Art and Future Horizons
title_sort artemis state of the art and future horizons
topic Natural Language Processing
ARTEMIS
FunGramKB
computational grammar
Role and Reference Grammar
url https://ojsspdc.ulpgc.es/ojs/index.php/LFE/article/view/917
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