no code implementations • 11 Sep 2023 • Torin Hopkins, Emily Doherty, Netta Ofer, Suibi Che Chuan Weng, Peter Gyrory, Chad Tobin, Leanne Hirshfield, Ellen Yi-Luen Do
A visualization representing the real-time measurement of the performers level of trust was projected behind the performer and used to dynamically restrict or promote audience participation.
no code implementations • WS 2020 • Sarah Beemer, Zak Boston, April Bukoski, Daniel Chen, Princess Dickens, Andrew Gerlach, Torin Hopkins, an, Parth Jawale, Chris Koski, Akanksha Malhotra, Piyush Mishra, Saliha Muradoglu, Lan Sang, Tyler Short, Sagarika Shreevastava, Elizabeth Spaulding, Testumichi Umada, Beilei Xiang, Changbing Yang, Mans Hulden
Sequence-to-sequence models have proven to be highly successful in learning morphological inflection from examples as the series of SIGMORPHON/CoNLL shared tasks have shown.