Acquiring Knowledge from Encyclopedic Texts

dc.creatorGomez, Fernando
dc.creatorHull, Richard
dc.creatorSegami, Carlos
dc.date1994-11-04
dc.date.accessioned2026-07-07T09:09:38Z
dc.date.available2026-07-07T09:09:38Z
dc.descriptionA computational model for the acquisition of knowledge from encyclopedic texts is described. The model has been implemented in a program, called SNOWY, that reads unedited texts from {\em The World Book Encyclopedia}, and acquires new concepts and conceptual relations about topics dealing with the dietary habits of animals, their classifications and habitats. The program is also able to answer an ample set of questions about the knowledge that it has acquired. This paper describes the essential components of this model, namely semantic interpretation, inferences and representation, and ends with an evaluation of the performance of the program, a sample of the questions that it is able to answer, and its relation to other programs of similar nature.
dc.description7 pages, 7 Postscript figures, uses aclap.sty
dc.identifierhttps://arxiv.org/abs/cmp-lg/9411011
dc.identifierhttp://arxiv.org/abs/cmp-lg/9411011
dc.identifierProceedings of the Fourth ACL Conference on Applied Natural Language Processing, Stuttgart, Germany, October 13-15, 1994
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151108
dc.subjectComputation and Language
dc.titleAcquiring Knowledge from Encyclopedic Texts
dc.typetext

Files

Collections