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Semantic Property Grammars for Knowledge Extraction from Biomedical Text

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Logic Programming (ICLP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4079))

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Abstract

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.

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References

  1. Dahl, V., Blache, P.: Extracting Selected Phrases through Constraint Satisfaction. In: Proceeding of ICLP workshop on CSLP (2005)

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  2. Blache, P.: Property Grammars: A Fully Constraint-Based Theory. In: Christiansen, H., et al. (eds.) Constraint Solving and NLP. LNCS. Springer, Heidelberg (2005)

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  3. Dahl, V., Blache, P.: Directly Executable Constraint Based Grammars. In: Proc. of Journees Francophones de Programmation en Logique avec Contraintes (2004)

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  4. Christiansen, H.: CHR Grammars. International Journal on Journal on Theory and Practice of Logic Programming, special issue on CHRs (2005)

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© 2006 Springer-Verlag Berlin Heidelberg

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Dahl, V., Gu, B. (2006). Semantic Property Grammars for Knowledge Extraction from Biomedical Text. In: Etalle, S., Truszczyński, M. (eds) Logic Programming. ICLP 2006. Lecture Notes in Computer Science, vol 4079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11799573_40

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  • DOI: https://doi.org/10.1007/11799573_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36635-5

  • Online ISBN: 978-3-540-36636-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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