1. Making Sense of Big Textual Data for Health Care: Findings from the Section on Clinical Natural Language Processing.

    Making Sense of Big Textual Data for Health Care: Findings from the Section on Clinical Natural Language Processing.

    Yearb Med Inform. 2017 Aug;26(1):228-233

    Authors: Névéol A, Zweigenbaum P

    Abstract Objectives: To summarize recent research and present a selection of the best papers published in 2016 in the field of clinical Natural Language Processing (NLP). Method: A survey of the literature was performed by the two section editors of the IMIA Yearbook NLP section.

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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
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