Term clustering of syntactic phrases

  • Authors:
  • D. D. Lewis;W. B. Croft

  • Affiliations:
  • Computer and Information Science Department, University of Massachusetts, Amherst, MA;Computer and Information Science Department, University of Massachusetts, Amherst, MA

  • Venue:
  • SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 1989

Quantified Score

Hi-index 0.00

Visualization

Abstract

Term clustering and syntactic phrase formation are methods for transforming natural language text. Both have had only mixed success as strategies for improving the quality of text representations for document retrieval. Since the strengths of these methods are complementary, we have explored combining them to produce superior representations. In this paper we discuss our implementation of a syntactic phrase generator, as well as our preliminary experiments with producing phrase clusters. These experiments show small improvements in retrieval effectiveness resulting from the use of phrase clusters, but it is clear that corpora much larger than standard information retrieval test collections will be required to thoroughly evaluate the use of this technique.