Digital copyright protection has become increasingly important in recent times due to the rapid growth of the Internet and the proliferation of P2P technologies. Copyright protect...
In this paper, we propose a multi-criteriabased active learning approach and effectively apply it to named entity recognition. Active learning targets to minimize the human annota...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...
This paper presents a novel training algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the global scoring...
We argue for a new aggregate function we termed the LIST function. It aggregates a set of values of one or more attributes into a single value that is internally a list of these v...
Quantifying the success of the topographic preservation achieved with a neural map is difficult. In this paper we present Topological Correlation, Tc, a method that assesses the de...