Sixth International Conference on Spoken Language Processing
October 16-20, 2000
A Rule-Based Named Entity Recognition System for Speech Input
Ji-Hwan Kim, Philip C. Woodland
Cambridge University Engineering Department, UK
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 infor-
mation such as punctuation, capitalisation and name lists.
The performance of both systems degrade linearly with
added speech recognition errors, and their rates of degrada-
tion 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.
Kim, Ji-Hwan / Woodland, Philip C. (2000):
"A rule-based named entity recognition system for speech input",
In ICSLP-2000, vol.1, 528-531.