Normalization and Matching in the DORO System

Abstract

This paper is concerned with the use of linguistically motivated phrases as indexing terms in Information Retrieval applications. Apart from the conventional noun phrases, we propose to use verb phrases as index terms for text classification. Techniques for phrase matching through syntactic normalization and semantical matching are described. We discuss the realization of the syntactic normalization of phrases by transduction to frames. Semantical normalization is based on lexico-semantical relations, taking into account certain properties of the classification algorithms used.

The ideas described here are being implemented in the Document Routing system DORO, in which statistical learning algorithms are applied to document profiles consisting of phrases. This paper describes the rationale behind work in progress, rather than presenting final results.

Contributors

C.H.A. Koster

C. Derksen

D. van de Ende

J. Potjer

Conference

Publication date: April 1999

Publication date (Print): April 1999

Pages: 1-13

Affiliations

Department of Computer Science,

University of Nijmegen, The Netherlands.

Article

DOI: 10.14236/ewic/IRSG1999.8

Copyright statement: © C.H.A. Koster et al. Published by BCS Learning and Development Ltd. 21st Annual BCS-IRSG Colloquium on IR, Glasgow

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 21st Annual BCS-IRSG Colloquium on IR

Conference acronym: IRSG

Conference number: 21

Conference location: Glasgow

Conference date: 19-20 April 1999

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: IR Research

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/IRSG1999.8

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing