We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
Abstract. There is nowadays a wide range of TCP/IP stack identification tools that allow to easily recognize the operating system of foreseen targets. The object of this article is...
As the number of cores on a single-chip grows, scalable barrier synchronization becomes increasingly difficult to implement. In software implementations, such as the tournament ba...
Previous information extraction (IE) systems are typically organized as a pipeline architecture of separated stages which make independent local decisions. When the data grows bey...
Qi Li, Sam Anzaroot, Wen-Pin Lin, Xiang Li, Heng J...
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...