CUILESS2016: a clinical corpus applying compositional normalization of text mentions von Osborne, John D, Neu, Matthew B, Danila, Maria I, Solorio, Thamar, Bethard, Steven J

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Lessons Learned from a Secondary Analysis Using Natural Language Processing and Machine Learning from a Lifestyle Intervention von Freylersythe, Sarah, Sharp, Rebecca, Culnan, John, Romero Diaz, Damian Yukio, Zhao, Yiyun, Franks, Hagan, Nitschke, Remo, Bethard, Steven J., Crane, Tracy E.

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Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium von Pathak, Jyotishman, Bailey, Kent R, Beebe, Calvin E, Bethard, Steven, Carrell, David C, Chen, Pei J, Dligach, Dmitriy, Endle, Cory M, Hart, Lacey A, Haug, Peter J, Huff, Stanley M, Kaggal, Vinod C, Li, Dingcheng, Liu, Hongfang, Marchant, Kyle, Masanz, James, Miller, Timothy, Oniki, Thomas A, Palmer, Martha, Peterson, Kevin J, Rea, Susan, Savova, Guergana K, Stancl, Craig R, Sohn, Sunghwan, Solbrig, Harold R, Suesse, Dale B, Tao, Cui, Taylor, David P, Westberg, Les, Wu, Stephen, Zhuo, Ning, Chute, Christopher G

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Annotating story timelines as temporal dependency structures von Bethard, Steven, Kolomiyets, Oleksandr, Moens, Marie-Francine

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