Feifan Liu

Feifan Liu
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Main area of research
Natural language & AI

Feifan Liu is a Senior Research Scientist in the Clinical Language Understanding group. His current areas of research include natural language processing, machine learning and biomedical informatics. Prior to joining Nuance, Feifan was an Associate Scientist (research faculty member) at the University of Wisconsin Milwaukee. He earned his PhD in Pattern Recognition and Intelligent Systems at Chinese Academy of Sciences in 2006 and completed a postdoctoral training at Human Language Technology Research Institute in the University of Texas at Dallas in 2009.

Selected articles

Learning to rank figures within a biomedical article

Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. This ever-increasing sheer volume has made it difficult for scientists

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MedTxting: Learning based and knowledge rich SMS-style medical text contraction

In mobile health (M-health), Short Message Service (SMS) has shown to improve disease related self-management and health service outcomes, leading to enhanced patient care. However,

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Automatically identifying health- and clinical-related content in wikipedia

Physicians are increasingly using the Internet for finding medical information related to patient care. Wikipedia is a valuable online medical resource to be integrated into

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Natural language processing, electronic health records and clinical research

Electronic health records (EHR) capture “real-world” disease and care processes and hence offer richer and more generalizable data for comparative ­effectiveness research than traditional randomized

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Learning from Chinese-English parallel data for Chinese tense prediction

Tense prediction can be useful for many language processing tasks, such as temporal inference and machine translation. In this paper, we investigate using diverse contextual

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