The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Despite recent advances in natural language question answering technology, the problem of designing effective user interfaces has been largely unexplored. We conducted a user stud...
Jimmy J. Lin, Dennis Quan, Vineet Sinha, Karun Bak...
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
This paper describes the syntactic rules which are applied in the Japanese speech recognition module of a speech-to-speech translation system. Japanese is considered to be a free ...
Statistically-based parsers for large corpora, in particular the Penn Tree Bank (PTB), typically have not used all the linguistic information encoded in the annotated trees on whic...