Tutorials: May 31

There will be six half-day tutorials on Sunday, May 31 – three in the morning session (9am-12:30pm) and three in the afternoon session (2pm-5:30pm). Coffee breaks are from 10:30am-11am and 3:30pm-4pm.

Morning tutorials (9am-12:30pm)

Hands-on Learning to Search for Structured Prediction, by Hal Daumé III, John Lanford, Kai-Wei Chang, He He, and Sudha Rao.
Crowdsourcing for NLP, by Chris Callison-Burch, Lyle Ungar, and Ellie Pavlick.
The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP, by Nathan Schneider, Jeffrey Flanigan, and Tim O’Gorman.

Afternoon tutorials (2pm-5:30pm)

Social Media Predictive Analytics, by Svitlana Volkova, Benjamin van Durme, David Yarowsky, and Yoram Bachrach.
Deep Learning and Continuous Representations for NLP, by Scott Wen-tau Yih, Xiaodong He, and Jianfeng Gao.
Getting the Roles Right: Using FrameNet in NLP, by Collin F. Baker, Nathan Schneider, Miriam R. L. Petruck, and Michael Ellsworth.