| Thursday, October 31, 2019 @ 03:00 pm EDT — Thursday, October 31, 2019 @ 04:00 pm EDT | ||||
| Building 38A Visitor Center, 1st Floor | ||||
| Lana Yeganova: lana.yeganova@ nih.gov | ||||
| Abstract: The reproducibility crisis calls into question some of the most fundamental use cases of biomedical natural language processing: if 65% of the scientific literature is questionable, what is the point of mining it? Meanwhile, computational research has mostly been immune to the crisis, but there is no a priori reason to expect that state of affairs to continue. This talk proposes that natural language processing itself can address this issue on both fronts--but how? About: Kevin Bretonnel Cohen is the Director of the Biomedical Text Mining Group at the University of Colorado School of Medicine and the emeritus D’Alembert Chair in Natural Language Processing for the Biomedical Domain at the Université Paris-Saclay. A cardiopulmonary technologist in the US Navy, he was awarded a doctorate in linguistics at the University of Colorado. He is the author of Aspects of the grammar of Kukú, and with Dina Demner-Fushman, of Biomedical natural language processing. Please join us after the talk for light refreshments and coffee! =========================================================== TEXT MINING AND NATURAL LANGUAGE PROCESSING SIG ORGANIZERS: Lana Yeganova, PhD, NLM, NIH Qingyu Chen, PhD, NLM, NIH Ayah Zirikly, PhD, Clinical Center, NIH To sign up to the Natural Language Processing listserv, please follow the link https://list.nih.gov/cgi-bin/wa.exe?A0=NATURAL-LANGAUGE-PROCESSING Questions? Please contact Lana Yeganova: lana.yeganova@ nih.gov Qingyu Chen :qingyu.chen@nih.gov Ayah Zirikly: ayah.zirikly@nih.gov |
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