Goran Hrovat (Author), Milan Ojsteršek (Author)

Abstract

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.

Keywords

semantic space;correlation;semantic dictionary;knowledge base;

Data

Language: English
Year of publishing:
Typology: 1.08 - Published Scientific Conference Contribution
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
UDC: 004.7
COBISS: 18158358 Link will open in a new window
Parent publication: StuCoSReC
Views: 1198
Downloads: 35
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
URN: URN:SI:UM:
Type (COBISS): Scientific work
Pages: Str. 43-46
ID: 8762437