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A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT
In the online world, Machine Translation (MT) systems are extensively used to translate User-Generated Text (UGT) such as reviews, tweets, and social media posts, where the main message is often the author's positive or negative attitude towards the topic of the text.
On the Elements of Datasets for Cyber Physical Systems Security
In this paper, we study the \emph{elements} of CPS security datasets required to capture the system behavior and interactions, and propose a dataset architecture that has the potential to enhance the performance of AI algorithms in securing cyber physical systems.
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems
In translating text where sentiment is the main message, human translators give particular attention to sentiment-carrying words.
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