Department of Computer Science and Technology

Technical reports

Is hypothesis testing useful for subcategorization acquisition?

Anna Korhonen, Genevive Gorrell, Diana McCarthy

May 2000, 9 pages

DOI: 10.48456/tr-491


Statistical filtering is often used to remove noise from automatically acquired subcategorization frames. In this paper, we compare three different approaches to filtering out spurious hypotheses. Two hypothesis tests perfrom poorly, compared to filtering frames on the basis of relative frequency. We discuss reasons for this and consider directions for future research.

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BibTeX record

  author =	 {Korhonen, Anna and Gorrell, Genevive and McCarthy, Diana},
  title = 	 {{Is hypothesis testing useful for subcategorization
  year = 	 2000,
  month = 	 may,
  url = 	 {},
  institution =  {University of Cambridge, Computer Laboratory},
  doi = 	 {10.48456/tr-491},
  number = 	 {UCAM-CL-TR-491}