Zhang MJ, Gao XY, Cao MD, Ma YJ "Modelling citation networks for improving scientific paper classification performance " PRICAI 2006: Trends in Artificial Intelligence, Proceedings Lecutre Notes in Artificial Intelligence 4099: 413-422 2006

[Eugene Garfield]

E-mail Addresses: mengjie at mcs.vuw.ac.nz, xgao at mcs.vuw.ac.nz, 
minducao at mcs.vuw.ac.nz, myj at hebau.edu.cn 

Title: Modelling citation networks for improving scientific paper 
classification performance 

Author(s): Zhang MJ (Zhang, Mengjie), Gao XY (Gao, Xiaoying), Cao MD (Cao, 
Minh Due), Ma YJ (Ma, Yuejin) 

Source: PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS LECTURE 
NOTES IN ARTIFICIAL INTELLIGENCE 4099: 413-422 2006 

Document Type: Article   Language: English 
Cited References: 25      Times Cited: 0   
     
Abstract: 
This paper describes an approach to the use of citation links to improve 
the scientific paper classification performance. In this approach, we 
develop two refinement functions, a linear label refinement (LLR) and a 
probabilistic label refinement (PLR), to model the citation link structures 
of the scientific papers for refining the class labels of the documents 
obtained by the content-based Naive Bayes classification method. The 
approach with the two new refinement models is examined and compared with 
the content-based Naive Bayes method on a standard paper classification 
data set with increasing training set sizes. The results suggest that both 
refinement models can significantly improve the system performance over the 
content-based method for all the training set sizes and that PLR is better 
than LLR when the training examples are sufficient. 

Addresses: Zhang MJ (reprint author), Victoria Univ Wellington, Sch Math 
Stat & Comp Sci, POB 600, Wellington, New Zealand

Victoria Univ Wellington, Sch Math Stat & Comp Sci, Wellington, New Zealand
Agr Univ Hebei, Coll Mech & Elect Engn, Artificial Intelligence Res Ctr, 
Baoding, Peoples R China

E-mail Addresses: mengjie at mcs.vuw.ac.nz, xgao at mcs.vuw.ac.nz, 
minducao at mcs.vuw.ac.nz, myj at hebau.edu.cn 

Publisher: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, 
GERMANY 

IDS Number: BEY22 

ISSN: 0302-9743 

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