1 |
M. Kavalec, V. Svatek, “A Study on Automated Relation Labelling in Ontology Learning,” Ontology Learning and Population from Text: Methods, Evaluation and Applications, lOS Press, pp. 44-58, 2005
|
2 |
M. Berland, E. Charniak, “Finding parts in very large corpora,” Proceedings of ACL, pp. 57-64, 1999
DOI
|
3 |
D. Ravichandran, E. Hovy, “Learning surface text patterns for a question answering system,” Pro-ceedings of ACL, pp. 41-47, 2002
DOI
|
4 |
WordNet 3.0, "http://wordnet.princeton.edu"
|
5 |
P. Pantel, D. Ravichandran, “Automatically labeling semantic classes,” Proceedings of HLT/NAACL, pp. 321-328, 2004
|
6 |
Wikipedia, "http://www.wikipedia.org"
|
7 |
A. Maedche, S. Staab, “Measuring similarity bet-ween ontologies,” EKAW, LNAI 2473, pp. 251-263, 2002
|
8 |
Stanford tagger, "http://nlp.stanford.edu/software/tagger.shtml"
|
9 |
X. Yang, J. Su, “Coreference resolution using semantic relatedness information from automatically discovered patterns,” Proceedings of ACL, pp. 528- 535, 2007
|
10 |
R. Girju, et al., “Learning semantic constraints for the automatic discovery of part-whole relations,” Proceedings of HLT/NAACL, pp. 1-8, 2003
DOI
|
11 |
김혜민, 최익규, 김민구, "일반화된 패턴을 이용한 관계 추출 시스템", 한국컴퓨터종합학술대회논문집, Vol.32, No.1(B), pp. 658-660, 2005
과학기술학회마을
|
12 |
P. Pantel, M. Pennacchiotti, “Espresso: Leveraging generic patterns for automatically harvesting semantic relations,” Proceedings of ACL, pp. 113-120, 2006
DOI
|
13 |
M.A. Hearst, “Automatic acquisition of hyponyms from large text corpora,” Proceedings of the 14th conference on Computatonal linguistics, Vol.2, pp. 539-545, 1992
DOI
|