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Rule-based techniques to extract relational entities from documents allowusers to specify desired entities with natural language questions, finite stateautomata, regular expressions and structured query language. They requirelinguistic and programming expertise and lack support for Arabic morphologicalanalysis. We present a morphology-based entity and relational entity extractionframework for Arabic (MERF). MERF requires basic knowledge of linguisticfeatures and regular expressions, and provides the ability to interactivelyspecify Arabic morphological and synonymity features, tag types associated withregular expressions, and relations and code actions defined over matches ofsubexpressions. MERF constructs entities and relational entities from matchesof the specifications. We evaluated MERF with several case studies. The resultsshow that MERF requires shorter development time and effort compared toexisting application specific techniques and produces reasonably accurateresults within a reasonable overhead in run time.

Morphology-based Entity and Relational Entity Extraction Framework for Arabic