Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
Choosing the right parameters for a word sense disambiguation task is critical to the success of the experiments. We explore this idea for prepositions, an often overlooked word c...
We describe a Chinese temporal annotation experiment that produced a sizable data set for the TempEval-2 evaluation campaign. We show that while we have achieved high inter-annota...
We propose an algorithm for creating superpixels. The major step in our algorithm is simply minimizing two pseudo-boolean functions. The processing time of our algorithm on images...
Yuhang Zhang, Richard Hartley, John Mashford, Stew...
This paper presents a novel top-down headdriven parsing algorithm for data-driven projective dependency analysis. This algorithm handles global structures, such as clause and coor...