In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...
This paper presents an FPGA-based implementation of a syntactic parser that can process languages generated by almost unrestricted real-life context-free grammars (CFGs). More prec...
Cristian Ciressan, Eduardo Sanchez, Martin Rajman,...
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual object models a robot learns. The paper...
Geert-Jan M. Kruijff, John D. Kelleher, Gregor Ber...
This paper presents an automated performance tuning solution, which partitions a program into a number of tuning sections and finds the best combination of compiler options for e...