2017
DOI: 10.20420/rlfe.2017.336
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An Account of English YES/NO Interrogative Sentences within ARTEMIS

Abstract: As stated in Periñán-Pascual and Arcas Túnez (2010, p. 2671) FunGramKB´s lexical and grammatical levels are grounded in sound linguistic theories, allowing the system to capture syntactic-semantic generalizations which are able to provide both explanations and predictions of language phenomena. The linguistic foundation of FunGramKB is inspired on Role and Reference Grammar (RRG,

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Cited by 3 publications
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“…The architecture of ARTEMIS was first described in Periñán-Pascual and Arcas-Túnez (2014), and several subsequent publications (Cortés-Rodríguez 2016;Cortés-Rodríguez and Mairal-Usón 2016;Fumero-Pérez and Díaz-Galán 2017;Martín Díaz 2017;Rodríguez-Juárez 2018, 2019) have concentrated on developing some of the components of this prototype. However, contrary to the tendency to use algorithmic techniques, ARTEMIS is a computational resource based mainly, though not exclusively, on the two linguistic models mentioned before, RRG and the LCM.…”
Section: Natural Language Understanding (Nlu) and Artemismentioning
confidence: 99%
“…The architecture of ARTEMIS was first described in Periñán-Pascual and Arcas-Túnez (2014), and several subsequent publications (Cortés-Rodríguez 2016;Cortés-Rodríguez and Mairal-Usón 2016;Fumero-Pérez and Díaz-Galán 2017;Martín Díaz 2017;Rodríguez-Juárez 2018, 2019) have concentrated on developing some of the components of this prototype. However, contrary to the tendency to use algorithmic techniques, ARTEMIS is a computational resource based mainly, though not exclusively, on the two linguistic models mentioned before, RRG and the LCM.…”
Section: Natural Language Understanding (Nlu) and Artemismentioning
confidence: 99%
“…The actual development of a parser based on RRG was the aim of the research carried out by Diedrichsen (2014), who designed a sentence parser for German, or by Guest (2008), who showed, through the analysis of sentences from student work, how RRG can be implemented into a standard rule-based parser. Within the specific framework of ARTEMIS, a relevant number of works have also been published dealing with the adjustments that have revealed necessary to adapt the RRG model to the functioning of the parser (Cortés-Rodríguez 2016;Cortés-Rodríguez and Mairal-Usón 2016;Martín-Díaz 2017;Díaz-Galán and Fumero-Pérez 2016;Fumero-Pérez and Díaz-Galán 2017;Rodríguez-Juárez 2017). In this paper we will address one of the substantial modifications which the RRG model had to undergo in this adaptation process, namely, the substitution of the operator projection for feature-based structures, and how this influences the description of function words in ARTEMIS.…”
Section: Introductionmentioning
confidence: 99%