Results 41 to 50 of about 63 (54)

FunGramKB term extractor

2014
Ontological engineering is a relatively young discipline that has nevertheless received considerable attention because of its great potential for application in a number of areas, including Machine Translation, Artificial Intelligence and the Semantic Web.
Ángel Felices-Lago   +1 more
openaire   +1 more source

Exploring the thematic-frame mapping 
in FunGramKB

2014
FunGramKB (Functional Grammar Knowledge Base; Periñán and Arcas 2010a, 2010b; Periñán and Mairal 2010b) has three levels of knowledge representation (i.e. lexical, conceptual and grammatical). Conceptual modelling takes place within the Ontology, whereas the implementation of both the semantic and the constructional information of lexical units belongs
Fátima Guerra García   +1 more
openaire   +1 more source

The interaction of non-linguistic 
and linguistic knowledge in FunGramKB

2014
This chapter investigates how the non-linguistic knowledge stored in the conceptual level of FunGramKB interacts with the idiosyncratic linguistic knowledge stored in the other two levels, i.e. the lexical and the grammatical levels. It will be argued that the pivotal module of this knowledge base, the Ontology, and the conceptual information stored ...
openaire   +1 more source

Low-level situational cognitive models within the Lexical Constructional Model and their computational implementation in FunGramKB

2014
This paper investigates the notion of low-level situational cognitive model, its role in linguistic description and its possible computational treatment in the knowledge base FunGramKB. Low-level situational models are exploited metonymically to produce situation-based implicatures.
openaire   +1 more source

FunGramKB: ontological and computational perspectives for Natural Language Processing

2012
The paper deals with a computational resources that is being developed within the FunGramKB Project. Generally speaking, the full natural language processing is almost impossible to achieve and only two main tasks are performed where knowledge is applied to the input text: parsing, e.g.
openaire   +1 more source

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