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» The Use of SVM for Chinese New Word Identification
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LREC
2010
119views Education» more  LREC 2010»
13 years 6 months ago
Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches
This paper presented an overview of Chinese bi-character words' morphological types, and proposed a set of features for machine learning approaches to predict these types bas...
Ting-Hao Huang, Lun-Wei Ku, Hsin-Hsi Chen
COLING
2008
13 years 6 months ago
Word Lattice Reranking for Chinese Word Segmentation and Part-of-Speech Tagging
In this paper, we describe a new reranking strategy named word lattice reranking, for the task of joint Chinese word segmentation and part-of-speech (POS) tagging. As a derivation...
Wenbin Jiang, Haitao Mi, Qun Liu
PR
2008
141views more  PR 2008»
13 years 5 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
BMCBI
2008
116views more  BMCBI 2008»
13 years 5 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...
EMNLP
2004
13 years 6 months ago
A New Approach for English-Chinese Named Entity Alignment
Traditional word alignment approaches cannot come up with satisfactory results for Named Entities. In this paper, we propose a novel approach using a maximum entropy model for nam...
Donghui Feng, Yajuan Lü, Ming Zhou