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EMNLP
2010
15 years 4 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...
SIGDIAL
2010
15 years 4 months ago
Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations
Two of the main corpora available for training discourse relation classifiers are the RST Discourse Treebank (RST-DT) and the Penn Discourse Treebank (PDTB), which are both based ...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
JMLR
2010
108views more  JMLR 2010»
15 years 5 months ago
Second-Order Bilinear Discriminant Analysis
Traditional analysis methods for single-trial classification of electro-encephalography (EEG) focus on two types of paradigms: phase-locked methods, in which the amplitude of the...
Christoforos Christoforou, Robert M. Haralick, Pau...
COMPUTE
2011
ACM
14 years 10 months ago
Similarity analysis of legal judgments
In this paper, we have made an effort to propose approaches to find similar legal judgements by extending the popular techniques used in information retrieval and search engines...
Sushanta Kumar, P. Krishna Reddy, V. Balakista Red...
PR
2006
116views more  PR 2006»
15 years 6 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli