Summary of the paper

Title The Architecture of FunGramKB
Authors Carlos Periñán-Pascual and Francisco Arcas-Túnez
Abstract Natural language understanding systems require a knowledge base provided withconceptual representations reflecting the structure of human beings’cognitive system. Although surface semantics can be sufficient in some othersystems, the construction of a robust knowledge base guarantees its use in mostnatural language processing applications, consolidating thus the concept ofresource reuse. In this scenario, FunGramKB is presented as a multipurposeknowledge base whose model has been particularly designed for natural languageunderstanding tasks. The theoretical basement of this knowledge engineeringproject lies in the construction of two complementary types of interlingua: theconceptual logical structure, i.e. a lexically-driven interlingua which canpredict linguistic phenomena according to the Role and Reference Grammarsyntax-semantics interface, and the COREL scheme, i.e. a concept-orientedinterlingua on which our rule-based reasoning engine is able to make inferenceseffectively. The objective of the paper is to describe the differentconceptual, lexical and grammatical modules which make up the architecture ofFunGramKB, together with an exploratory outline on how to exploit such aknowledge base within an NLP system.
Language LR Infrastructures and Architectures
Topics Knowledge Discovery/Representation, Semantics, LR Infrastructures and Architectures
Full paper The Architecture of FunGramKB
Bibtex @InProceedings{PERINPASCUAL10.284,
  author = {Carlos Periñán-Pascual and Francisco Arcas-Túnez},
  title = {The Architecture of FunGramKB},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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