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Proceedings of the 12th Conference of the European Chapter of the ACL, pages 835–842,
Athens, Greece, 30 March – 3 April 2009.
c
2009 Association for Computational Linguistics
Growing Finely-Discriminating Taxonomies from Seeds
of Varying Quality and Size
Tony Veale
tony.veale@ucd.ie
Guofu Li
guofu.li@ucd.ie
Yanfen Hao
yanfen.hao@ucd.ie
Abstract
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1 Introduction
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2 Related Work
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3 Seeds for Taxonomic Growth
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3.3 Web-derived Stereotypes
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3.4 Overview of Seed Resources
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4 Bootstrapping from Seeds
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4.1 An Example
cola
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irritating food unhealthy drink!>
stimulating
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champagne
lemonadebeer!
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1000000
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1400000
1600000
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WordNet
Simile
ConceptNet
Bootstrapping Cycle
# Triples
0 1 2 3 4 5
0
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150000
200000
250000
300000
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WordNet
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5 Empirical Evaluation
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We replicate the above experiments using the
same 402 nouns, and assess the clustering accur-
acy (again using WordNet as a gold-standard)
after each bootstrapping cycle. Recall that we use
only the D
j
fields of each triple as features for the
clustering process, so the comparison with the
WordNet gold-standard is still a fair one. Once
again, the goal is to determine how much like the
human-crafted WordNet taxonomy is the tax-
onomy that is clustered automatically from the
discriminating words D
j
only. The clustering ac-
curacy for all three seeds are shown in Tables 2,
3 and 4.
Cycle E P # Features Coverage
1
st
!A1D !61+ +,D 66L
2
nd
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Cycle E P # Features Coverage
1
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!1B< !D*6 :AD B+L
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References
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In Proc. of the 26
th
>.>'
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' "!
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4 >! 5 )! (1,,6-! 2
"% .'Q
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0!"?!(1,,D-!>>
# Q T
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5 .! (*++1-! > #
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th
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Q!?!%>!U!(1,,<-!'
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G&!5U! (1,,D-!.'/
; !In Proc.
of the 45
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Annual Meeting of the ACLBDN6<!
G&!5U! (1,,:-!>;F
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.!In Proc. of Coling 2008, The
22
nd
International Conference on Computational
Linguistics.!
842
. Association for Computational Linguistics
Growing Finely-Discriminating Taxonomies from Seeds
of Varying Quality and Size
Tony Veale
tony.veale@ucd.ie
Guofu. Proceedings of the 12th Conference of the European Chapter of the ACL, pages 835–842,
Athens, Greece, 30 March
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