Deep contextualized embeddings for quantifying the informative content in biomedical text summarization
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DOI: 10.1016/j.cmpb.2019.105117
Abstract: BACKGROUND AND OBJECTIVE Capturing the context of text is a challenging task in biomedical text summarization. The objective of this research is to show how contextualized embeddings produced by a deep bidirectional language model can… read more here.
Keywords: biomedical text; text summarization; contextualized embeddings; text ... See more keywords