Title

Acquiring Knowledge From Encyclopedic Texts

Abstract

A 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 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.

Publication Date

1-1-1994

Publication Title

4th Conference on Applied Natural Language Processing, ANLP 1994 - Proceedings

Number of Pages

84-90

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

Socpus ID

0003381453 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0003381453

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