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» Named Entity Recognition Experiments on Turkish Texts
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FLAIRS
2003
15 years 1 months ago
Orthographic Case Restoration Using Supervised Learning Without Manual Annotation
One challenge in text processing is the treatment of case insensitive documents such as speech recognition results. The traditional approach is to re-train a language model exclud...
Cheng Niu, Wei Li 0003, Jihong Ding, Rohini K. Sri...
CSL
2008
Springer
14 years 11 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
SIGIR
2009
ACM
15 years 6 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...
SIGIR
2009
ACM
15 years 6 months ago
Web-derived resources for web information retrieval: from conceptual hierarchies to attribute hierarchies
A weakly-supervised extraction method identifies concepts within conceptual hierarchies, at the appropriate level of specificity (e.g., Bank vs. Institution), to which attribute...
Marius Pasca, Enrique Alfonseca
DAS
2010
Springer
14 years 10 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...