Abstract
Property Grammars, or PGs, belong to a new family of linguistic formalisms which view a grammar as a set of linguistic constraints, and parsing as a constraint satisfaction problem. Rigid hierarchical parsing gives way to flexible mechanisms which can handle incomplete, ambiguous or erroneous text, and are thus more adequate for new applications such as speech recognition, internet mining, controlled languages and biomedical information. The present work contributes a) a new parsing methodology for PGs in terms of Hyprolog – an extension of Prolog with linear and intuitionistic logic and with abduction; and b) a customisable extension of PGs that lets us model also concepts and relations to some degree. We exemplify within the domain of extracting concepts from biomedical text.
An earlier version of this paper has been presented “On Semantically Constrained Property Grammars”, Proceedings of the 5th International Workshop on Constraints and Language Processing (CSLP 2008), Villadsen, J., Christiansen, H., (Eds), ROSKILDE UNIVERSITY COMPUTER SCIENCE RESEARCH REPORT #122, 2008, pp. 20–32.
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Dahl, V., Gu, B., Maharshak, E. (2009). A Hyprolog Parsing Methodology for Property Grammars. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_60
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DOI: https://doi.org/10.1007/978-3-642-02478-8_60
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