Goran Hrovat (Avtor), Milan Ojsteršek (Avtor)

Povzetek

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.

Ključne besede

semantic space;correlation;semantic dictionary;knowledge base;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija: UM FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
UDK: 004.7
COBISS: 18158358 Povezava se bo odprla v novem oknu
Matična publikacija: StuCoSReC
Št. ogledov: 1198
Št. prenosov: 35
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
URN: URN:SI:UM:
Vrsta dela (COBISS): Znanstveno delo
Strani: Str. 43-46
ID: 8762437