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» Training Global Linear Models for Chinese Word Segmentation
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ACL
2009
13 years 3 months ago
Dependency Based Chinese Sentence Realization
This paper describes log-linear models for a general-purpose sentence realizer based on dependency structures. Unlike traditional realizers using grammar rules, our method realize...
Wei He, Haifeng Wang, Yuqing Guo, Ting Liu
IJCNLP
2005
Springer
13 years 11 months ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
EMNLP
2006
13 years 7 months ago
A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation
Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
Galen Andrew
SIAMIS
2010
378views more  SIAMIS 2010»
13 years 15 days ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
ESWA
2008
113views more  ESWA 2008»
13 years 5 months ago
A weighted string pattern matching-based passage ranking algorithm for video question answering
Video question answering aims to pinpoint answers in response to user's specified questions. However, most question answering technologies involve in integrating rich specifi...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee