Browsing by Author "Abdul,Shabbir S."

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  • Wang,Qinghua; Abdul,Shabbir S.; Almeida,Lara; Ananiadou,Sophia; Balderas-Martinez,Yalbi I.; Batista-Navarro,Riza; Campos,David; Chilton,Lucy; Chou,Hui-Jou; Contreras,Gabriela; Cooper,Laurel; Dai,Hong-Jie; Ferrell,Barbra; Fluck,Juliane; Gama-Castro,Socorro; George,Nancy; Gkoutos,Georgios; Irin,Afroza K.; Jensen,Lars J.; Jimenez,Silvia; Jue,Toni R.; Keseler,Ingrid; Madan,Sumit; Matos,Sergio; McQuilton,Peter; Milacic,Marija; Mort,Matthew; Natarajan,Jeyakumar; Pafilis,Evangelos; Pereira,Emiliano; Rao,Shruti; Rinaldi,Fabio; Rothfels,Karen; Salgado,David; Silva,Raquel M.; Singh,Onkar; Stefancsik,Raymund; Su,Chu-Hsien; Subramani,Suresh; Tadepally,Hamsa D.; Tsaprouni,Loukia; Vasilevsky,Nicole; Wang,Xiaodong; Chatr-Aryamontri,Andrew; Laulederkind,Stanley J. F.; Matis-Mitchell,Sherri; McEntyre,Johanna; Orchard,Sandra; Pundir,Sangya; Rodriguez-Esteban,Raul; Van Auken,Kimberly; Lu,Zhiyong; Schaeffer,Mary; Wu,Cathy H.; Hirschman,Lynette; Arighi,Cecilia N. (Oxford University Press, 9/1/16)
    Fully automated text mining (TM) systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These systems are not meant to replace biocurators, ...

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