Distance-based (windowless) word assocation measures have only very recently appeared in the NLP literature and their performance compared to existing windowed or frequency-based ...
We discuss and analyze the problem of finding a distribution that minimizes the relative entropy to a prior distribution while satisfying max-norm constraints with respect to an ...
This paper compares several translation representations for a synchronous context-free grammar parse including CFGs/hypergraphs, finite-state automata (FSA), and pushdown automat...
Gonzalo Iglesias, Cyril Allauzen, William Byrne, A...
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
We present a novel representation and method for detecting and explaining anomalous activities in a video stream. Drawing from natural language processing, we introduce a represen...
Raffay Hamid, Amos Y. Johnson, Samir Batta, Aaron ...