Title

Learning Word Syntactic Subcategorizations Interactively

Authors

Authors

F. Gomez

Comments

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

Abbreviated Journal Title

Knowledge-Based Syst.

Keywords

NATURAL LANGUAGE PROCESSING; SYNTACTIC SUBCATEGORIZATIONS, PARSING, ; LEARNING; Computer Science, Artificial Intelligence

Abstract

Learning algorithms that acquire syntactic knowledge for a parser from sample sentences entered by users who have no knowledge of the parser or English syntax are described. It is shown how the subcategorizations of verbs, nouns and adjectives can be inferred from sample sentences entered by end users. Then, if the parser fails to parse a sentence, for example Peter knows how to read books, because it has limited knowledge or no knowledge at all about 'know', an interface which incorporates the acquisition algorithms can be activated, and 'know' can be defined by entering some sample sentences, one of which can be the one which the parser failed to parse.

Journal Title

Knowledge-Based Systems

Volume

8

Issue/Number

4

Publication Date

1-1-1995

Document Type

Article

Language

English

First Page

190

Last Page

200

WOS Identifier

WOS:A1995RN15500005

ISSN

0950-7051

Share

COinS