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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Dahl, V., & Gu, B. (2006). Semantic property grammars for knowledge extraction from biomedical text. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4079 LNCS, pp. 442–443). Springer Verlag. https://doi.org/10.1007/11799573_40
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