Brown University invites you to attend an academic memorial event to commemorate the research and legacy of Eugene Charniak (https://cs.brown.edu/news/2023/06/16/brown-cs-remembers-eugene-charniak/). Eugene, an ACL Lifetime Achievement Award winner and ACL fellow, passed away in June 2023. His colleagues and students have organized a two-day workshop of invited presentations of cutting-edge research with an emphasis on the themes which defined Eugene's career: the legacy of classic statistical NLP/ML, the sometimes-surprising effectiveness of simple baselines, clever tricks for dealing with data sparsity such as self-training or distant supervision, unsupervised learning, and frame-based representations of knowledge for planning and natural language understanding.
To RSVP, please fill out this form (https://forms.gle/7YJhKt8d6s2TxRBN9).
For full details and the program, please see the event page (https://cs.brown.edu/events/eugene-charniak-memorial-symposium/) at Brown Computer Science. Mark Johnson will give a keynote presentation, along with research talks by Regina Barzilay, Michael Collins, Jason Eisner, Sharon Goldwater, John Hale, Keith Hall, Graeme Hirst, Lillian Lee, Ani Nenkova, Michael Littman, Ellie Pavlick, Brian Roark, Chris Tanner and Byron Wallace. There will also be opportunities to remember Eugene in a social setting, and a panel discussion of the workshop's research themes. Talks will be both livestreamed and recorded.
If you have questions about the event, contact the organizers, Micha Elsner (melsner0 [at] gmail.com) and David McClosky (david.mcclosky [at] gmail.com).