A large body of prior research on coreference resolution recasts the problem as a two-class classification problem. However, standard supervised machine learning algorithms that m...
This work addresses the problem of classifying the genre of text, which is useful for a variety of language processing problems. We propose statistics of POS histograms as classiï...
Sergey Feldman, Marius A. Marin, Mari Ostendorf, M...
As the use of Electronic Medical Records (EMRs) becomes more widespread, so does the need for effective information discovery within them. Recently proposed EMR standards are XML-b...
With the growing popularity of information retrieval (IR) in distributed systems and in particular P2P Web search, a huge number of protocols and prototypes have been introduced i...
Thomas Neumann, Matthias Bender, Sebastian Michel,...
We describe a new GMM-UBM speaker recognition system that uses standard cepstral features, but selects different frames of speech for different subsystems. Subsystems, or “const...