We investigate the effect of using wordspace models as an approximation of the kind of lexico-semantic and commonsense knowledge needed for coreference resolution of definite descriptions, that is, definite NPs with a common noun as head, for Swedish news text. We contrast a system using semantic knowledge from the word-space models with a semantically ignorant system and another system drawing its semantic information from a semantic dictionary called SynLex. We demonstrate an improvement in the results for two different evaluation tasks for the system using word space-derived semantic information over both other systems.
REF ) investigate the effect of using vector space models as an approximation of the kind of lexico-semantic and commonsense knowledge needed for coreference resolution for Swedish texts.
Using Semantic Features Derived from Word-Space Models for Swedish Coreference Resolution
NODALIDA
Computer Science