Please join us for the NLP Seminar this Monday (Sept. 19) at 3:30pm in 202 South Hall.
(This is a rescheduling of a talk that was postponed from last semester.)
Speaker: Percy Liang (Stanford)

Title: Learning from Zero


Can we learn if we start with zero examples, either labeled or unlabeled?  This scenario arises in new user-facing systems (such as virtual assistants for new domains), where inputs should come from users, but no users exist until we have a working system, which depends on having training data.  I discuss recent work that circumvent this circular dependence by interleaving user interaction and learning.


Preparatory readings:

Liang, Percy. “Talking to computers in natural language.” XRDS: Crossroads, The ACM Magazine for Students 21.1 (2014): 18-21.
Liang, Percy. “Learning Executable Semantic Parsers for Natural Language Understanding.” arXiv preprint arXiv:1603.06677(2016).