Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Cun-Li Mao"'
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 36(12)
Terahertz spectrum is sensitive to the change of the nonlocal molecular vibration mode. Accordingly, the spectral waveform is susceptible to variety of physical and chemical factors, which will lead to peak changes, frequency shifts, and even deforma
Publikováno v:
Journal of Software. 24:2734-2746
Publikováno v:
2008 International Conference on Machine Learning and Cybernetics.
Traditional text classification model uses statistical methods to obtain features. But in the aspect of discrimination domain and non-domain text category, domain knowledge relations havenpsilat been taken account of in these methods. A domain text c
Publikováno v:
2007 International Conference on Machine Learning and Cybernetics.
FAQ (frequently-asked question) is a good question and answer model to realize business advisory system in restricted domain. A FAQ question answering system model is presented in this paper. With the help of the idea of ontology, a knowledge base is
Publikováno v:
Computational Science – ICCS 2007 ISBN: 9783540725893
International Conference on Computational Science (4)
International Conference on Computational Science (4)
Passage retrieval is a base of answer extracting in Chinese question answering system.In order to improve the precision of the passage retrieval which includes answers, this paper analyze first existing passage retrieval methods,and point to their sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::962d632567a58ac00e5a7e752949f962
https://doi.org/10.1007/978-3-540-72590-9_88
https://doi.org/10.1007/978-3-540-72590-9_88
Publikováno v:
2010 Third International Symposium on Information Processing (ISIP); 2010, p327-331, 5p
Publikováno v:
2010 Third International Symposium on Information Processing (ISIP); 2010, p311-315, 5p
Publikováno v:
2009 International Conference on Computational Intelligence & Security; 2009, p79-83, 5p
Publikováno v:
2008 International Conference on Machine Learning & Cybernetics; 2008, p2612-2617, 6p