Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
entity, but an abstraction of unknown lower-level processes, the spreadingactivation model has predictive but not explanatory power. We provide one explanation of the fan effect by...
Most work in human activity recognition is limited to relatively simple behaviors like sitting down, standing up or other dramatic posture changes. Very little has been achieved i...
In this paper we describe an improved version of ANERsys, an Arabic Named Entity Recognition system for open-domain texts. The first version of ANERsys was totally based on the Ma...