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» Using Maximum Entropy Model for Chinese Text Categorization
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IJCNLP
2005
Springer
13 years 10 months ago
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
Guodong Zhou
CIKM
2005
Springer
13 years 10 months ago
Fast webpage classification using URL features
We demonstrate the usefulness of the uniform resource locator (URL) alone in performing web page classification. This approach is magnitudes faster than typical web page classific...
Min-Yen Kan, Hoang Oanh Nguyen Thi
NAACL
2003
13 years 6 months ago
Language and Task Independent Text Categorization with Simple Language Models
We present a simple method for language independent and task independent text categorization learning, based on character-level n-gram language models. Our approach uses simple in...
Fuchun Peng, Dale Schuurmans, Shaojun Wang
AIRS
2008
Springer
13 years 11 months ago
Syntactic Parsing with Hierarchical Modeling
Abstract. This paper proposes a hierarchical model to parse both English and Chinese sentences. This is done by iteratively constructing simple constituents first, so that complex...
Junhui Li, Guodong Zhou, Qiaoming Zhu, Peide Qian
IJCNLP
2005
Springer
13 years 10 months ago
Automatic Image Annotation Using Maximum Entropy Model
Automatic image annotation is a newly developed and promising technique to provide semantic image retrieval via text descriptions. It concerns a process of automatically labeling t...
Wei Li, Maosong Sun