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

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

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Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.

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

NLP Highlights