A Dempster-Shafer model for document retrieval using noun phrases

Authors:
Marcos Theophylactou;Mounia Lalmas
Affiliations:
Department of Computing Science, University of Glasgow, Glasgow, Scotland;Department of Computing Science, University of Glasgow, Glasgow, Scotland
Venue:
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
Year:
1998

Citing 5
Cited 1

Ranking algorithms

Information retrieval
Progress in the application of natural language processing to information retrieval tasks

The Computer Journal - Special issue on information retrieval
A vector space model for automatic indexing

Communications of the ACM
Information Retrieval

Information Retrieval
A workbench for finding structure in texts

ANLC '97 Proceedings of the fifth conference on Applied natural language processing

Introduction

Information Retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a document retrieval system based on natural language processing of documents and queries. We use single terms and term groups as indexing elements to represent documents and queries. The model is formally expressed within the Dempster-Shafer Theory of Evidence. We discuss in detail how we use this theory to represent a document collection, indexing elements, documents and queries. The retrieval function is derived directly from the underlying theory. We then present an implementation of the model. The experimental work carried out is reported last.