54 - Simulating Action Dynamics with Neural Process Networks, with Antoine Bosselut

ICLR 2018 paper, by Antoine Bosselut, Omer Levy, Ari Holtzman,
Corin Ennis, Dieter Fox, and Yejin Choi. This is not your standard
NLP task. This work tries to predict which entities change state
over the course of a recipe (e.g., ingredients get combined into a
batter, so entities merge, and then the batter gets baked, changing
location, temperature, and "cookedness"). We talk to Antoine about
the work, getting into details about how the data was collected,
how the model works, and what some possible future directions are.
https://www.semanticscholar.org/paper/Simulating-Action-Dynamics-with-Neural-Process-Bosselut-Levy/dc01c9401d1caab7f5e6d2f1280f5815f6919977