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EMNLP
2006
13 years 9 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira
JMLR
2006
143views more  JMLR 2006»
13 years 7 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
CSSE
2008
IEEE
14 years 2 months ago
Rapid Acquirement and Visualization of CityGML Documents
—With the development of the Internet, the need of city 3D data is rising more and more, and the emphasis shifts from analysis to the sharing of city 3D data and information over...
Lingli Zhao, Shuai Liu, Junsheng Li, Haicheng Xu
KCAP
2009
ACM
14 years 2 months ago
Large-scale extraction and use of knowledge from text
A large amount of empirically derived world knowledge is essential for many languageprocessing tasks, to create expectations that can help assess plausibility and guide disambigua...
Peter Clark, Philip Harrison
IJCNLP
2004
Springer
14 years 1 months ago
Chinese Treebanks and Grammar Extraction
Preparation of knowledge bank is a very difficult task. In this paper, we discuss the knowledge extraction from the manually examined Sinica Treebank. Categorical information, wor...
Keh-Jiann Chen, Yu-Ming Hsieh