Semantic Property Grammars for Knowledge Extraction from Biomedical Text

  • Veronica Dahl
  • Baohua Gu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4079)


We present Semantic Property Grammars, designed to extract concepts and relations from biomedical texts. The implementation adapts a CHRG parser we designed for Property Grammars [1], which views linguistic constraints as properties between sets of categories and solves them by constraint satisfaction, can handle incomplete or erroneous text, and extract phrases of interest selectively. We endow it with concept and relation extraction abilities as well.


Noun Phrase Parse Tree Knowledge Extraction Biomedical Ontology Biomedical Text 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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    Blache, P.: Property Grammars: A Fully Constraint-Based Theory. In: Christiansen, H., et al. (eds.) Constraint Solving and NLP. LNCS. Springer, Heidelberg (2005)Google Scholar
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    Dahl, V., Blache, P.: Directly Executable Constraint Based Grammars. In: Proc. of Journees Francophones de Programmation en Logique avec Contraintes (2004)Google Scholar
  4. 4.
    Christiansen, H.: CHR Grammars. International Journal on Journal on Theory and Practice of Logic Programming, special issue on CHRs (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Veronica Dahl
    • 1
  • Baohua Gu
    • 1
  1. 1.Simon Fraser UniversityBurnabyCanada

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