NLP and IR approaches to monolingual and multilingual link detection

  • Authors:
  • Ying-Ju Chen;Hsin-Hsi Chen

  • Affiliations:
  • National Taiwan University, Taipei, Taiwan;National Taiwan University, Taipei, Taiwan

  • Venue:
  • COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
  • Year:
  • 2002

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Abstract

This paper considers several important issues for monolingual and multilingual link detection. The experimental results show that nouns, verbs, adjectives and compound nouns are useful to represent news stories; story expansion is helpful; topic segmentation has a little effect; and a translation model is needed to capture the differences between languages.