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...
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...
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...
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...
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 ...