Clausal Arguments and Peripheries in ASD-STE100: The Parsing of Subordination in ARTEMIS


  • María Auxiliadora Martín Díaz Universidad de La Laguna
  • Marta María González Orta Universidad de La Laguna


One of the main objectives of NLP is the simulation of natural language understanding. Within its applications, ARTEMIS is theoretically grounded in RRG, whose linking algorithm lies at the basis of our interlingua-based system. A fundamental component of ARTEMIS is the GDE module, where feature-based production rules and AVMs are stored to allow the generation of natural language expressions. Production rules for phrasal constituents, simple sentences and adverbial subordinates have already been described, but it is now turn to delve into other types of complex structures and generally contribute to the enhancement of parsing rules for clausal subordination in ARTEMIS. Bearing in mind the validation process these production rules should undergo, as well as the common problems that may arise in such parsing applications, our research will concentrate, precisely, on the analysis of these subordinate structures as found in a CNL like ASD-STE100.

Biografía del autor/a

María Auxiliadora Martín Díaz, Universidad de La Laguna

María Auxiliadora Martín-Díaz is an Associate Professor in the Department of English and German Philology at the University of La Laguna where, among other things, she has lectured on a Master’s course on language technologies and text management. She is currently involved in a research project from UNED, entitled «Desarrollo de un laboratorio virtual para el procesamiento computacional de la lengua desde un paradigma funcional» (FF2014-53788-C3-1-P).

Marta María González Orta, Universidad de La Laguna

Lecturer in English Studies at the University of La Laguna, holding a Ph.D. from that university (2003). Her research is mainly focused on the study of the interrelationship between syntax, semantics and lexis within Old English verbal classes. She has published widely on these matters in international journals and monographic volumes. She is currently working on the parsing process of complex sentences in controlled natural languages.


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