<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=47903"><dc:title>Constructing domain-specific semantic dictionaries to supplement domain-specific knowledge bases</dc:title><dc:creator>Hrovat,	Goran	(Avtor)
	</dc:creator><dc:creator>Ojsteršek,	Milan	(Avtor)
	</dc:creator><dc:subject>semantic space</dc:subject><dc:subject>correlation</dc:subject><dc:subject>semantic dictionary</dc:subject><dc:subject>knowledge base</dc:subject><dc:description>Semantic dictionaries as well as knowledge bases are im- portant source of information for natural language process- ing. Using corpus and algorithms for constructing semantic space, we can quickly construct semantic dictionary, which is exploit to supplement the knowledge base. Algorithm for constructing semantic space, COALS was chosen. Semantic distance between terms in semantic space reveals their sim- ilarity, which is used to add semantic relationships in the dictionary. Semantic dictionary also serves to assist in iden- tifying entities and in relation extraction, to supplement the knowledge base.</dc:description><dc:date>0</dc:date><dc:date>2015-04-23 11:05:09</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>47903</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
