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EMNLP
2010
14 years 10 months ago
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
133
Voted
BMCBI
2005
131views more  BMCBI 2005»
15 years 17 days ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
74
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ACL
2008
15 years 2 months ago
When Specialists and Generalists Work Together: Overcoming Domain Dependence in Sentiment Tagging
This study presents a novel approach to the problem of system portability across different domains: a sentiment annotation system that integrates a corpus-based classifier trained...
Alina Andreevskaia, Sabine Bergler
97
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ACL
2010
14 years 10 months ago
Inducing Domain-Specific Semantic Class Taggers from (Almost) Nothing
This research explores the idea of inducing domain-specific semantic class taggers using only a domain-specific text collection and seed words. The learning process begins by indu...
Ruihong Huang, Ellen Riloff
133
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AAAI
2010
15 years 2 months ago
A Layered Approach to People Detection in 3D Range Data
People tracking is a key technology for autonomous systems, intelligent cars and social robots operating in populated environments. What makes the task difficult is that the appea...
Luciano Spinello, Kai Oliver Arras, Rudolph Triebe...