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dc.contributor.authorRahmad Mahendra1, 2, Lilian Wanzare1,2, Bernardo Magnini1 , Raffaella Bernardi3 , Alberto Lavelli1
dc.date.accessioned2020-11-23T09:14:38Z
dc.date.available2020-11-23T09:14:38Z
dc.date.issued2011
dc.identifier.urihttps://repository.maseno.ac.ke/handle/123456789/2905
dc.description.abstractThis paper proposes the automatic acquisition of binary relational patterns (i.e. portions of text expressing a relation between two entities) from Wikipedia. There are a few advantages behind the use of Wikipedia: (i) relations are represented in the DBpedia ontology, which provides a repository of concepts to be used as semantic variables within patterns; (ii) most of the DBpedia relations appear in Wikipedia infoboxes, and are likely to be expressed in the corresponding pages, which increases the effectiveness of the extraction process; (iii) finally, as Wikipedia has pages in several languages, this opens the possibility for the acquisition of multilingual relational patterns. We show that a relatively simple methodology performs quite well on a set of selected DBpedia relations, for which a benchmark has been realized.en_US
dc.publisherProc. of the 5th Language and Technology Conferenceen_US
dc.subjectRelational patterns, Wikipedia, DBpedia, Ontology Population, Question Answeringen_US
dc.titleAcquiring Relational Patterns from Wikipedia: A Case Studyen_US
dc.typeArticleen_US


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