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AIRS
2006
Springer
13 years 8 months ago
Efficient and Robust Phrase Chunking Using Support Vector Machines
Automatic text chunking is a task which aims to recognize phrase structures in natural language text. It is the key technology of knowledge-based system where phrase structures pro...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee, Show-Jane ...
PR
2008
141views more  PR 2008»
13 years 4 months ago
Robust and efficient multiclass SVM models for phrase pattern recognition
Phrase pattern recognition (phrase chunking) refers to automatic approaches for identifying predefined phrase structures in a stream of text. Support vector machines (SVMs)-based ...
Yu-Chieh Wu, Yue-Shi Lee, Jie-Chi Yang
JCDL
2003
ACM
160views Education» more  JCDL 2003»
13 years 9 months ago
Automatic Document Metadata Extraction Using Support Vector Machines
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadat...
Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zh...
COLING
2008
13 years 5 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
ICIP
2006
IEEE
14 years 6 months ago
Support Vector Machines for Camera Calibration Problem
This paper presents a statistical learning-based solution to the camera calibration problem in which the Support Vector Machines (SVM) are used for the estimation of the projectio...
Refaat M. Mohamed, Abdelrehim H. Ahmed, Ahmed Eid,...