A comparison of named entity patterns from a user analysis and a system analysis

Authors:
Masnizah Mohd;Fabio Crestani;Ian Ruthven
Affiliations:
Dept. of Computer and Information Sciences, University of Strathclyde, Glasgow, Scotland, UK;Faculty of Informatics, University of Lugano, Lugano;Dept. of Computer and Information Sciences, University of Strathclyde, Glasgow, Scotland, UK
Venue:
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Year:
2008

Citing 5
Cited 0

Learning Approaches for Detecting and Tracking News Events

IEEE Intelligent Systems
Simple Semantics in Topic Detection and Tracking

Information Retrieval
Text classification and named entities for new event detection

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
New event detection based on indexing-tree and named entity

SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Named entity patterns across news domains

FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper investigates the detection of named entity (NE) patterns by comparing the results of NE patterns resulting from a user analysis and a system analysis. Findings revealed that there are difference in NE patterns detected by system and user, something that may affect the performance of a TDT system based on NE detection.