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  Wolfram|Alpha Computational Knowledge Engine software, despite all internet search engines, tries to provide the the best answer for a question or compute an equation in the most correct way based on the current knowledge. Therefore, given the unique characteristic of Wolfram|Alpha and its vast applications, the aim of the present article is to familiarize the biomedical scientists with...

Pretraining large neural language models, such as BERT, has led to impressive gains on many natural processing (NLP) tasks. However, most pretraining efforts focus general domain corpora, newswire and Web. A prevailing assumption is that even domain-specific can benefit by starting from general-domain models. In this paper, we challenge showing for domains with abundant unlabeled text, biomedic...

Due to the advanced developments of Internet and information technologies, a massive quantity electronic data in biomedical sector has been exponentially increased. To handle huge amount data, automated multi-document text summarization becomes an effective robust approach accessing increased technical medical literature through multiple source documents by retaining significantly informative d...