Article published In:
Review of Cognitive LinguisticsVol. 10:1 (2012) ► pp.184–214
The situated common-sense knowledge in FunGramKB
It has been widely demonstrated that expectation-based schemata, along the lines of Lakoff’s propositional Idealized Cognitive Models, play a crucial role in text comprehension. Discourse inferences are grounded on the shared generalized knowledge which is activated from the situational model underlying the text surface dimension. From a cognitive-plausible and linguistic-aware approach to knowledge representation, FunGramKB stands out for being a dynamic repository of lexical, constructional and conceptual knowledge which contributes to simulate human-level reasoning. The objective of this paper is to present a script model as a carrier of the situated common-sense knowledge required to help knowledge engineers construct more “intelligent” natural language processing systems.
Cited by
Cited by 5 other publications
Carrión Varela, María De los Llanos
2014. Resolución de anáforas que requieren conocimiento cultural con la herramienta FunGramKB. Revista de Lingüística y Lenguas Aplicadas 9:1 ► pp. 01 ff. 
Fang, Yu & Haitao Liu
2018. What factors are associated with dependency distances to ensure easy comprehension? A case study of ba sentences in Mandarin Chinese. Language Sciences 67 ► pp. 33 ff.
Felices Lago, Ángel
2016. The process of constructing ontological meaning based on criminal law verbs. Círculo de Lingüística Aplicada a la Comunicación 65 ► pp. 109 ff.
Felices-Lago, Ángel & Pedro Ureña Gómez-Moreno
2014. FunGramKB term extractor: A tool for building terminological ontologies
from specialised corpora. In Language Processing and Grammars [Studies in Language Companion Series, 150], ► pp. 251 ff.
Ruiz de Mendoza Ibáñez, Francisco José
2014. Low-level situational cognitive models within the Lexical Constructional Model and their computational implementation in FunGramKB. In Language Processing and Grammars [Studies in Language Companion Series, 150], ► pp. 367 ff.
This list is based on CrossRef data as of 10 november 2023. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.