72 search results - page 1 / 15 » Efficient Support Vector Classifiers for Named Entity Recogn... |
COLING
2002
13 years 4 months ago
2002
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...
BMCBI
2005
13 years 4 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
IJCSA
2008
13 years 4 months ago
2008
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...
BMCBI
2005
13 years 4 months ago
2005
Background: Automated information extraction from biomedical literature is important because a vast amount of biomedical literature has been published. Recognition of the biomedic...
IJBRA
2010
13 years 1 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 ...