Story Link Detection and New Event Detection are Asymmetric

Abstract

Story link detection has been regarded as a core technology for other Topic Detection and Tracking tasks such as new event detection. In this paper we analyze story link detection and new event detection in a retrieval framework and examine the effect of a number of techniques, including part of speech tagging, new similarity measures, and an expanded stop list, on the performance of the two detection tasks. We present experimental results that show that the utility of the techniques on the two tasks differs, as is consistent with our analysis.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA453536

Entities

People

  • Ayman Farahat
  • Francine Chen
  • Thorsten Brants

Organizations

  • PARC

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Computational Linguistics
  • Computational Processes
  • Computational Science
  • Computer Languages
  • Computer Science
  • Computer Vision
  • Computing-Related Activities
  • Detection
  • Event Detection
  • Language
  • Linguistics
  • Natural Language Processing
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design