This paper describes the results of the first Shared Task on Multilingual Emoji Prediction, organized as part of SemEval 2018.
Summarization techniques can reduce the size of long papers to their essential content or automatically generate state-of-the-art-reviews.
In addition, a grade is allocated to each sentence according to its relevance for being included in a summary. To the best of our knowledge, this complex, multi-layered collection of annotations and metadata characterizing a set of research papers had never been grouped together before in one corpus and therefore constitutes a newer, richer resource with respect to those currently available in the field.
Emojis allow us to describe objects, situations and even feelings with small images, providing a visual and quick way to communicate.