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» Information-Theoretic Segmentation of Natural Language
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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 5 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
ICDAR
2007
IEEE
13 years 11 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
KCAP
2003
ACM
13 years 9 months ago
Towards topic-based summarization for interactive document viewing
Our research aims at interactive document viewers that can select and highlight relevant text passages on demand. Another related objective is the generation of topic-specific su...
Achim G. Hoffmann, Son Bao Pham
COLING
2002
13 years 4 months ago
Applying an NVEF Word-Pair Identifier to the Chinese Syllable-to-Word Conversion Problem
Syllable-to-word (STW) conversion is important in Chinese phonetic input methods and speech recognition. There are two major problems in the STW conversion: (1) resolving the ambi...
Jia-Lin Tsai, Wen-Lian Hsu