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» Named Entity Recognition Using Web Document Corpus
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GIR
2006
ACM
14 years 1 months ago
On metonymy recognition for geographic IR
Metonymic location names refer to other, related entities and possess a meaning different from the literal, geographic sense. Metonymic names are to be treated differently to im...
Johannes Leveling, Sven Hartrumpf
CIKM
1999
Springer
13 years 12 months ago
Word Segmentation and Recognition for Web Document Framework
It is observed that a better approach to Web information understanding is to base on its document framework, which is mainly consisted of (i) the title and the URL name of the pag...
Chi-Hung Chi, Chen Ding, Andrew Lim
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
13 years 9 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
14 years 7 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
CIKM
2005
Springer
14 years 1 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman