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In this paper we describe a deep learning system that has been built for SemEval 2016 Task4 (Subtask A and B). In this work we trained a Gated Recurrent Unit (GRU) neural network model on top of two sets of word embeddings: (a) general word embed-dings generated from unsupervised neural language model; and (b) task specific word em-beddings generated from(More)
Nalbuphine, a kappa-opioid agonist and mu-opioid partial agonist, has been used as an analgesic or an adjuvant with morphine to attenuate the development of morphine dependence and rewarding effect. In this study, we investigated the effect of nalbuphine on tramadol rewarding effect and antinociception. Using the conditioned place preference (CPP) paradigm(More)
—We introduce LABR, the largest sentiment analysis dataset to-date for the Arabic language. It consists of over 63,000 book reviews, each rated on a scale of 1 to 5 stars. We investigate the properties of the the dataset, and present its statistics. We explore using the dataset for two tasks: sentiment polarity classification and ratings classification. We(More)
Wireless Sensor Networks (WSNs) are the type of networks that are currently used in many applications. Some of these applications are critical and their information is very sensitive e.g. battle field and health care monitoring. Any transferred data has to be known from where it comes. In other words, most of the WSNs applications depend mainly on the(More)
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