Automatic acquisition of biographic knowledge from encyclopedic texts

    Authors

    R. Hull;F. Gomez

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Expert Syst. Appl.

    Keywords

    deverbal nominalization; semantic interpreter; noun phrase; prepositional phrase; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic; Operations Research & Management Science

    Abstract

    Automatically acquiring knowledge from encyclopedic texts, specifically the biographies of famous people found in the World Book Encyclopedia, begins with an electronic version of the text of a biography and ends with knowledge structures representing the knowledge that has been acquired. This acquisition process is performed without human assistance of any kind and thus involves not only issues in the area of knowledge acquisition, but also issues in natural language understanding and knowledge representation. We describe one problem from each of these two areas: interpretation of deverbal nominalizations and representation of the a priori knowledge required by the semantic interpreter. The results of two comprehensive experiments are presented in this article, which show that these problems can be solved on the way to near human performance in answering a large set of questions. (C) 1999 Elsevier Science Ltd All rights reserved.

    Journal Title

    Expert Systems with Applications

    Volume

    16

    Issue/Number

    3

    Publication Date

    1-1-1999

    Document Type

    Article

    Language

    English

    First Page

    261

    Last Page

    270

    WOS Identifier

    WOS:000079589600001

    ISSN

    0957-4174

    Share

    COinS