Search Contact information
University of Cambridge Home Department of Engineering
University of Cambridge > Engineering Department > Machine Intelligence Lab

Abstract for kim_icslp2000

Proc. ICSLP 2000

RULE-BASED NAMED ENTITY RECOGNITION SYSTEM FOR SPEECH INPUT

Ji-Hwan Kim and P.C. Woodland

October 2000

In this paper, we propose a rule based (transformation based) named entity recognition system which uses the Brill rule inference approach. To measure its performance, we compare the performance of the rule-based system and IdentiFinder, one of the most successful stochastic systems. In the baseline case (no punctuation and no capitalisation), both systems show almost equal performance. They also have similar performance in the case of additional information such as punctuation, capitalisation and name lists. The performance of both systems degrade linearly with added speech recognition errors, and their rates of degradation are almost equal. These results show that automatic rule inference is a viable alternative to the HMM-based approach to named entity recognition, but it retains the advantages of a rule-based approach.


(ftp:) kim_icslp2000.ps.gz (http:) kim_icslp2000.ps.gz
PDF (automatically generated from original PostScript document - may be badly aliased on screen):
  (ftp:) kim_icslp2000.pdf | (http:) kim_icslp2000.pdf

If you have difficulty viewing files that end '.gz', which are gzip compressed, then you may be able to find tools to uncompress them at the gzip web site.

If you have difficulty viewing files that are in PostScript, (ending '.ps' or '.ps.gz'), then you may be able to find tools to view them at the gsview web site.

We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.

© 2005 Cambridge University Engineering Dept
Information provided by milab-maintainer