Shansong Yang

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In this paper, we investigate the challenging task of understanding short text (STU task) by jointly considering topic modeling and knowledge incorporation. Knowledge incorporation can solve the content sparsity problem effectively for topic modeling. Specifically, the phrase topic model is proposed to leverage the auto-mined knowledge, i.e., the phrases,(More)
In this paper, we present a novel document summarization mechanism called KeyphraseDS that can organize the scientific articles into multi-aspect and informative scientific survey by exploiting keyphrases. Keyphrases describe text’s salience and central focus, which can serve as the component of aspects under specific topic. KeyphraseDS consists of three(More)
This paper considers the problem of amplifying scientific paper's abstract by using its citation sentences. While scientific paper's abstract is concise and subjective, its citation sentences, which can be regarded as one kind of comment, are redundant and objective. A summary combining the merits of those two resource is helpful to researchers. A(More)
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