no code implementations • ACL 2017 • Maxim Rabinovich, Dan Klein
As entity type systems become richer and more fine-grained, we expect the number of types assigned to a given entity to increase.
1 code implementation • ACL 2017 • Maxim Rabinovich, Mitchell Stern, Dan Klein
Tasks like code generation and semantic parsing require mapping unstructured (or partially structured) inputs to well-formed, executable outputs.
Ranked #3 on Semantic Parsing on ATIS
no code implementations • 6 May 2016 • Maxim Rabinovich, Aaditya Ramdas, Michael. I. Jordan, Martin J. Wainwright
These results show that it is possible for empirical expectations of functions to concentrate long before the underlying chain has mixed in the classical sense, and we show that the concentration rates we achieve are optimal up to constants.
no code implementations • NeurIPS 2015 • Jacob Andreas, Maxim Rabinovich, Dan Klein, Michael. I. Jordan
Calculation of the log-normalizer is a major computational obstacle in applications of log-linear models with large output spaces.
no code implementations • NeurIPS 2015 • Maxim Rabinovich, Elaine Angelino, Michael. I. Jordan
Practitioners of Bayesian statistics have long depended on Markov chain Monte Carlo (MCMC) to obtain samples from intractable posterior distributions.
no code implementations • 18 Apr 2015 • Maxim Rabinovich, Cédric Archambeau
Access to web-scale corpora is gradually bringing robust automatic knowledge base creation and extension within reach.