A rule - based approach for converting Wikipedia content into semantic relations

dc.contributor	Graduate Program in Computer Engineering.
dc.contributor.advisor	Güngör, Tunga.
dc.contributor.author	Aydın, Nihal Yağmur.
dc.date.accessioned	2023-03-16T10:02:22Z
dc.date.available	2023-03-16T10:02:22Z
dc.date.issued	2016.
dc.identifier.other	CMPE 2016 A83
dc.identifier.uri	http://digitalarchive.boun.edu.tr/handle/123456789/12317
dc.description.abstract	In this thesis, we propose a method for conversion from natural language into semantic relations. In this research, we focus on text written in highly unstructured form. The method is based on analysis of grammatical patterns of the sentences chosen from Wikipedia. Regular expressions are used for the generation of grammatical patterns. In addition to the grammatical structure of sentences, we also made use of the named entities to create semantic relations. Experiments on different types of relations showed that 71% and 82% success rates can be obtained for a threshold of 0.50 correctness rate.
dc.format.extent	30 cm.
dc.publisher	Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016.
dc.subject.lcsh	Wikipedia.
dc.subject.lcsh	Electronic encyclopedias.
dc.subject.lcsh	Computational linguistics.
dc.title	A rule - based approach for converting Wikipedia content into semantic relations
dc.format.pages	ix, 96 leaves ;