DocumentCode :
389684
Title :
Analyzing document logic structure by machine learning
Author :
Liu, Gong-Shen ; Wang, Yong-Cheng ; Hu, Pei-hua
Author_Institution :
Dept. of Comput. Sci., Shanghai Jiaotong Univ., China
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
179
Abstract :
Considering the analysis process of document logic structure, the paper defines gross information. Based on gross information, the analysis of document logic structure is implemented using the element property and relations between elements synthetically. At the same time, an offline inductive learning algorithm and an online GUI learning algorithm are used in the analysis process. As an experiment shows, this method is effective and can be used in practical applications.
Keywords :
graphical user interfaces; learning by example; natural languages; text analysis; document logic structure; gross information; machine learning; natural language processing; offline inductive learning algorithm; online GUI learning algorithm; Algorithm design and analysis; Computer science; Graphical user interfaces; Information analysis; Logic; Machine learning; Machine learning algorithms; Natural language processing; Sections; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
Type :
conf
DOI :
10.1109/ICMLC.2002.1176734
Filename :
1176734
Link To Document :
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