105 search results - page 4 / 21 » Named Entity Recognition using Machine Learning Methods and ... |
IJCNLP
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. One of issues in the bootstrapping for named entity recognition is how to control annotation errors introduced at every iteration. In this paper, we present several heuri...
IJBRA
2010
13 years 4 months ago
2010
This paper explores the scalability issues associated with solving the Named Entity Recognition (NER) problem using Support Vector Machines (SVM) and high-dimensional features and ...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
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...
COLING
2008
13 years 9 months ago
2008
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...