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ISCI
2010
134views more  ISCI 2010»
13 years 9 months ago
Cascade Markov random fields for stroke extraction of Chinese characters
Extracting perceptually meaningful strokes plays an essential role in modeling structures of handwritten Chinese characters for accurate character recognition. This paper proposes...
Jia Zeng, Wei Feng, Lei Xie, Zhi-Qiang Liu
CORR
1999
Springer
79views Education» more  CORR 1999»
13 years 10 months ago
Cascaded Markov Models
This paper presents a new approach to partial parsing of context-free structures. The approach is based on Markov Models. Each layer of the resulting structure is represented by i...
Thorsten Brants
CVIU
2004
132views more  CVIU 2004»
13 years 10 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
NAACL
2007
14 years 8 days ago
Chinese Named Entity Recognition with Cascaded Hybrid Model
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
Xiaofeng Yu
BMCBI
2008
117views more  BMCBI 2008»
13 years 11 months ago
Cascaded classifiers for confidence-based chemical named entity recognition
Chemical named entities represent an important facet of biomedical text. We have developed a system to use character-based ngrams, Maximum Entropy Markov Models and rescoring to r...
Peter Corbett, Ann A. Copestake