1 |
Y. T. Kim, J. H. Lim, and C. S. Kim, "UML changes for efficient ontology development," Journal of the Korea Academia-Industrial Cooperation Society, Vol.9, No2, pp.415-421, 2008.
DOI
|
2 |
B. Smith, and C. Fellbaum, "Medical WordNet: a new methodology for the construction and validation of information resources for consumer health," In Proceedings of the 20th International Conference on Computational Linguistics, pp.371, 2004.
|
3 |
C. F. Baker, C. J. Fillmore, and J. B. Lowe, "The Berkeley FrameNet Project," In Proceedings of the 17th International Conference on Computational Linguistics, pp.86-90, 1998.
|
4 |
J. Gonzalo, F. Verdejo, I. Chugur, and J. Cigarran, "Indexing with WordNet synsets can improve Text Retrieval," arXiv preprint cmp-lg/9808002., 1998.
|
5 |
M. Q. Stearns, C. Price, K. A. Spackman, and A. Y. Wang, "SNOMED clinical terms: Overview of the development process and project status," In Proceedings of AMIA Symposium, pp.662-666, 2001.
|
6 |
X. Yang and J. Su, "Coreference resolution using semantic relatedness information from automatically discovered patterns," In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp.528-535, 2007.
|
7 |
O. Bodenreider, A. Burgun and T. C. Rindflesch, "Lexically suggested hyponymic relations among medical terms and their representation in the UMLS," In TIA'2001: Proceedings of Terminology and Artificial Intelligence, pp.11-21, 2001.
|
8 |
M. A. Hearst, "Automatic acquisition of hyponyms from large text corpora," In Proceedings of the 14th Conference on Computational Linguistics, pp.539-545, 1992.
|
9 |
P. Cimiano and S. Staab, "Learning by Googling," ACM SIGKDD Explorations Newsletter, Vol.6, No.2, pp.24-33, 2004.
DOI
|
10 |
S. Soderland, "Learning information extraction rules for semi-structured and free text," Machine Learning, Vol.34, No.3, pp.233-272, 1999.
DOI
|