Publication statistics

Pub. period:2002-2006
Pub. count:6
Number of co-authors:11



Co-authors

Number of publications with 3 favourite co-authors:

Nick Cercone:3
Lijun Hou:1
Aijun An:1

 

 

Productive colleagues

Vlado Keselj's 3 most productive colleagues in number of publications:

Dawn N. Jutla:15
Aijun An:12
Xiaohua Hu:12
 
 
 
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Vlado Keselj

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Publications by Vlado Keselj (bibliography)

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2006
 
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Jordan, Chris, Healy, John and Keselj, Vlado (2006): Swordfish: an unsupervised Ngram based approach to morphological analysis. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2006. pp. 657-658.

Extracting morphemes from words is a nontrivial task. Rule based stemming approaches such as Porter's algorithm have encountered some success, however they are restricted by their ability to identify a limited number of affixes and are language dependent. When dealing with languages with many affixes, rule based approaches generally require many more rules to deal with all the possible word forms. Deriving these rules requires a larger effort on the part of linguists and in some instances can be simply impractical. We propose an unsupervised ngram based approach, named Swordfish. Using ngram probabilities in the corpus, possible morphemes are identified. We look at two possible methods for identifying candidate morphemes, one using joint probabilities between two ngrams, and the second based on log odds between prefix probabilities. Initial results indicate the joint probability approach to be better for English while the prefix ratio approach is better for Finnish and Turkish.

© All rights reserved Jordan et al. and/or ACM Press

2005
 
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Miao, Yingbo, Keselj, Vlado and Milios, Evangelos E. (2005): Document clustering using character N-grams: a comparative evaluation with term-based and word-based clustering. In: Herzog, Otthein, Schek, Hans-Jörg and Fuhr, Norbert (eds.) Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management October 31 - November 5, 2005, Bremen, Germany. pp. 357-358.

 
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Keselj, Vlado and Jutla, Dawn N. (2005): QTIP: Multi-Agent NLP and Privacy Architecture for Information Retrieval in Usable Web Privacy Software. In: Skowron, Andrzej, Agrawal, Rakesh, Luck, Michael, Yamaguchi, Takahira, Morizet-Mahoudeaux, Pierre, Liu, Jiming and Zhong, Ning (eds.) 2005 IEEE / WIC / ACM International Conference on Web Intelligence WI 2005 19-22 September, 2005, Compiegne, France. pp. 718-724.

2004
 
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Keselj, Vlado and Cercone, Nick (2004): PPDN - a Framework for Peer-to-Peer Collaborative Research Network. In: Yao, Jingtao, Raghavan, Vijay V. and Wang, G. Y. (eds.) Proceedings of the 2nd International Workshop on Web-based Support Systems September 20, 2004, Beijing, China. pp. 88-93.

 
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Satti, Asad, Cercone, Nick and Keselj, Vlado (2004): Experiments in Web Page Classification for Semantic Web. In: Yao, Jingtao, Raghavan, Vijay V. and Wang, G. Y. (eds.) Proceedings of the 2nd International Workshop on Web-based Support Systems September 20, 2004, Beijing, China. pp. 137-141.

2002
 
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Cercone, Nick, Hou, Lijun, Keselj, Vlado, An, Aijun, Naruedomkul, Kanlaya and Hu, Xiaohua (2002): From Computational Intelligence to Web Intelligence. In IEEE Computer, 35 (11) pp. 72-76.

 
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Changes to this page (author)

13 Feb 2010: Modified
01 Jun 2009: Added
30 May 2009: Added
30 May 2009: Added
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24 Jun 2007: Added

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URL: http://www.interaction-design.org/references/authors/vlado_keselj.html

Publication statistics

Pub. period:2002-2006
Pub. count:6
Number of co-authors:11



Co-authors

Number of publications with 3 favourite co-authors:

Nick Cercone:3
Lijun Hou:1
Aijun An:1

 

 

Productive colleagues

Vlado Keselj's 3 most productive colleagues in number of publications:

Dawn N. Jutla:15
Aijun An:12
Xiaohua Hu:12
 
 
 
May 20

The moment clients realize that revisions are not an all-you-can-eat buffet, suddenly they realize they are not hungry.

-- Lester Beall

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Help us help you!