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» A New Statistical Approach to Personal Name Extraction
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ICML
2002
IEEE
14 years 4 months ago
A New Statistical Approach to Personal Name Extraction
We propose a new statistical approach to extracting personal names from a corpus. One of the key points of our approach is that it can both automatically learn the characteristics...
Zheng Chen, Liu Wenyin, Feng Zhang
WWW
2008
ACM
14 years 4 months ago
Mining for personal name aliases on the web
We propose a novel approach to find aliases of a given name from the web. We exploit a set of known names and their aliases as training data and extract lexical patterns that conv...
Danushka Bollegala, Taiki Honma, Yutaka Matsuo, Mi...
ACL
2001
13 years 5 months ago
Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning
Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, loc...
Hideki Isozaki
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
13 years 8 months ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
CIKM
2010
Springer
13 years 2 months ago
CiteData: a new multi-faceted dataset for evaluating personalized search performance
Personalized search systems have evolved to utilize heterogeneous features including document hyperlinks, category labels in various taxonomies and social tags in addition to free...
Abhay Harpale, Yiming Yang, Siddharth Gopal, Daqin...