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131
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BMCBI
2008
147views more  BMCBI 2008»
15 years 17 days ago
Assessment of disease named entity recognition on a corpus of annotated sentences
Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and ...
Antonio Jimeno-Yepes, Ernesto Jiménez-Ruiz,...
105
Voted
NAACL
2010
14 years 10 months ago
Crowdsourcing the evaluation of a domain-adapted named entity recognition system
Named entity recognition systems sometimes have difficulty when applied to data from domains that do not closely match the training data. We first use a simple rule-based techniqu...
Asad B. Sayeed, Timothy J. Meyer, Hieu C. Nguyen, ...
SIGIR
2012
ACM
13 years 2 months ago
TwiNER: named entity recognition in targeted twitter stream
Many private and/or public organizations have been reported to create and monitor targeted Twitter streams to collect and understand users’ opinions about the organizations. Tar...
Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwi...
84
Voted
ICPR
2010
IEEE
15 years 3 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
113
Voted
EMNLP
2009
14 years 10 months ago
Domain adaptive bootstrapping for named entity recognition
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu