SIGIR'98 posters: Automatic acquisition of terminological relations from a corpus for
query expansion
Automatic acquisition of terminological relations from a corpus for
query expansion
Sta Jean-David
EDF Electricite de France
Direction des Etudes et Recherches
1, av. du General De Gaulle
Clamart 92141 France
jd.sta@der.edfgdf.fr
Abstract
One of the means used for query expansin consists in adding related
terms from a thesaurus to the terms of the query. How efficient this
technique can be depends upon the presence of terminological relations
in the thesaurus. The experiment that is described here consists in
assessing the capacity of various statistic measures of associations
between terms, to highlight terminological relations. From a corpus of
over 6,000 documents, the associations between more than 5,000 terms
two by two were compared to the 70,000 terminological relations of a
thesaurus. The measure based on context likeness is the most
effective.