35 search results - page 3 / 7 » Using Maximum Entropy Model for Chinese Text Categorization |
CSL
2006
Springer
13 years 5 months ago
2006
Springer
A novel technique for maximum "a posteriori" (MAP) adaptation of maximum entropy (MaxEnt) and maximum entropy Markov models (MEMM) is presented. The technique is applied...
ICADL
2007
Springer
13 years 11 months ago
2007
Springer
With the rapid emergence and proliferation of Internet and the trend of globalization, a tremendous amount of textual documents written in different languages are electronically ac...
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
ACL
2006
13 years 7 months ago
2006
Short vowels and other diacritics are not part of written Arabic scripts. Exceptions are made for important political and religious texts and in scripts for beginning students of ...
CIKM
2005
Springer
13 years 11 months ago
2005
Springer
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...