A linguistically sound approach to content analysis of natural language text

Author

Hafner, Carole D.

Author_Institution

Coll. of Comput. Sci., Northeastern Univ., Boston, MA, USA

fYear

1990

fDate

6-11 May 1990

Firstpage

142

Lastpage

149

Abstract

An approach to text content analysis aimed at utilizing linguistic structure effectively within a robust, pattern-directed framework is described. The method, which is under development as part of the ROBIN (robust interpreter) text analysis system, uses a bottom-up chart parser to collect information about the linguistic structure of the input. The chart is then subjected to rule-based pattern matching to recognize the concepts of interest. It is shown how the structure-matching approach is able to use syntactic information to distinguish correct from incorrect examples of a concept, even when the chart provides only a partial analysis of the input

Keywords

character recognition; linguistics; natural languages; word processing; ROBIN; bottom-up chart parser; content analysis; linguistic structure; linguistically sound approach; natural language text; partial analysis; pattern-directed framework; robust interpreter; rule-based pattern matching; structure-matching approach; syntactic information; text analysis system; text content analysis; Computer science; Educational institutions; Information analysis; Natural languages; Pattern analysis; Pattern matching; Pattern recognition; Robustness; Text analysis; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

AI Systems in Government Conference, 1990. Proceedings., Fifth Annual

Conference_Location

Washington, DC

Print_ISBN

0-8186-2044-7

Type

conf

DOI

10.1109/AISIG.1990.63814

Filename

63814