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IJCNLP
2004
Springer
14 years 26 days ago
SVM-Based Biological Named Entity Recognition Using Minimum Edit-Distance Feature Boosted by Virtual Examples
In this paper, we propose two indepentent solutions to resolve the problems of many different spelling variants and of lack of annotated corpus for training, which are two main di...
Eunji Yi, Gary Geunbae Lee, Yu Song, Soo-Jun Park
ICPR
2010
IEEE
13 years 10 months ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha
ACL
2008
13 years 9 months ago
Inducing Gazetteers for Named Entity Recognition by Large-Scale Clustering of Dependency Relations
We propose using large-scale clustering of dependency relations between verbs and multiword nouns (MNs) to construct a gazetteer for named entity recognition (NER). Since dependen...
Jun'ichi Kazama, Kentaro Torisawa
LREC
2008
84views Education» more  LREC 2008»
13 years 9 months ago
Named Entity Recognition for Digitised Historical Texts
We describe and evaluate a prototype system for recognising person and place names in digitised records of British parliamentary proceedings from the late 17th and early 19th cent...
Claire Grover, Sharon Givon, Richard Tobin, Julian...
COLING
2002
13 years 7 months ago
Efficient Support Vector Classifiers for Named Entity Recognition
Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organizatio...
Hideki Isozaki, Hideto Kazawa