An Account of English YES/NO Interrogative Sentences within ARTEMIS

Authors

  • María Auxiliadora Martín Díaz Universidad de La Laguna

Keywords:

Yes/No Interrogatives, Role and Reference Grammar, 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, Van Valin, 2005) and the Lexical Constructional Model (LCM, Ruíz de Mendoza & Mairal Usón, 2008; Mairal Usón & Ruíz de Mendoza, 2008). The close interrelation between these grammatical theories and FungramKB is patent in the design of ARTEMIS (Automatically Representing Text Meaning via an Interlingua-Based System”), an NLP system whose objective is the simulation of natural language understanding. In doing so, ARTEMIS becomes a development of the syntax-to-semantics linking algorithm proposed in RRG which involves a parsing process that starts with a natural language sentence, extracts its morphosyntactic features and provides a representation of these in terms of the so-called layered structure of the clause (LSC) in RRG. Because of its centrality, there is a vital need for a full development of ARTEMIS. This paper aims at contributing to this elaboration by proposing the set of rules and operations necessary for the treatment of Yes/No interrogative sentences within such an NLP system.

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Author Biography

María Auxiliadora Martín Díaz, Universidad de La Laguna

María Auxiliadora Martín Díaz is an Associate Professor of English Language and Linguistics in the Department of English and German Philology, University of La Laguna, Spain. Her areas of research interest are the interaction between lexis and grammar within functional and cognitive models, and diachronic lexicology.  She has been a research member in several research projects dealing with these areas, and has supervised several PhD dissertations on these topics. She is currently involved in the project entitled Desarrollo de un laboratorio virtual para el procesamiento computacional de la lengua desde un paradigma funcional (FF2014-53788-C3-1-P) funded by the Spanish Ministry of Science. She is also a member of the research group GILGLI (Research Group on English Lexis and Grammar) that forms part of the NeuroCog Research Network, co-funded by the Agencia Canaria de Investigación, Innovación y Sociedad de la Información and ERDF.

References

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Published

2017-12-05

How to Cite

Martín Díaz, M. A. (2017). An Account of English YES/NO Interrogative Sentences within ARTEMIS. Revista De Lenguas Para Fines Específicos, 23(2), 41–62. Retrieved from https://ojsspdc.ulpgc.es/ojs/index.php/LFE/article/view/918

Issue

Section

Sección Monográfica/Special Issue