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The variety of engaging interactions among users in social medial distinguishes it from traditional Web media. Such a fea- ture should be utilized while attempting to provide intelligent services to …...

We propose a new optimization frame- work for summarization by generalizing the submodular framework of (Lin and Bilmes, 2011). In our framework the sum- marization desideratum is expressed as a …...

AbstractMost neural network models for document classification on social media focus on text information to the neglect of other information on these platforms. In this paper, we classify post stance …...

AbstractThis paper presents a novel task to generate poll questions for social media posts. It offers an easy way to hear the voice from the public and learn from their …...