This paper examines the driving and opposing forces that are governing the current paradigm shift from a data-processing information technology environment without software intell...
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
In recent years, large databases of natural images have
become increasingly popular in the evaluation of face and
object recognition algorithms. However, Pinto et al. previously
...
Current methods of playlist creation and maintenance do not support user needs, especially in a mobile context. Furthermore, they do not scale: studies show that users with large ...
Meghan Allen, Jennifer Gluck, Karon E. MacLean, Er...