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IJCAI
2007
13 years 5 months ago
One Class per Named Entity: Exploiting Unlabeled Text for Named Entity Recognition
In this paper, we present a simple yet novel method of exploiting unlabeled text to further improve the accuracy of a high-performance state-of-theart named entity recognition (NE...
Yingchuan Wong, Hwee Tou Ng
LREC
2010
155views Education» more  LREC 2010»
13 years 5 months ago
A Named Entity Labeler for German: Exploiting Wikipedia and Distributional Clusters
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
Grzegorz Chrupala, Dietrich Klakow
ACL
2008
13 years 5 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
13 years 5 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
IJMI
2002
82views more  IJMI 2002»
13 years 4 months ago
Protein names and how to find them
A prerequisite for all higher level information extraction tasks is the identication of unknown names in text. Today, when large corpora can consist of billions of words, it is of...
Kristofer Franzén, Gunnar Eriksson, Fredrik...