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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Format: | Article |
Language: | deu |
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Universidad de Las Palmas de Gran Canaria
2017-12-01
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Series: | Revista de Lenguas para Fines Específicos |
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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. |
first_indexed | 2024-12-17T00:32:38Z |
format | Article |
id | doaj.art-b9ce265a5fba42b9a4f9d8542f450335 |
institution | Directory Open Access Journal |
issn | 1133-1127 2340-8561 |
language | deu |
last_indexed | 2024-12-17T00:32:38Z |
publishDate | 2017-12-01 |
publisher | Universidad de Las Palmas de Gran Canaria |
record_format | Article |
series | Revista de Lenguas para Fines Específicos |
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 |
work_keys_str_mv | AT anadiazgalan artemisstateoftheartandfuturehorizons AT madelcarmenfumeroperez artemisstateoftheartandfuturehorizons |