337 citations · 2.3k across the 55 of their papers we have counts for
8 papers · 1 filter
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings
Fereshte Khani, Martin Rinard, Percy Liang
Can we train a system that, on any new input, either says "don't know" or makes a prediction that is guaranteed to be correct? We answer the question in the affirmative provided ou…
Simpler Context-Dependent Logical Forms via Model Projections
Reginald Long, Panupong Pasupat, Percy Liang
We consider the task of learning a context-dependent mapping from utterances to denotations. With only denotations at training time, we must search over a combinatorially large spa…
Unsupervised Risk Estimation Using Only Conditional Independence Structure
Jacob Steinhardt, Percy Liang
We show how to estimate a model's test error from unlabeled data, on distributions very different from the training distribution, while assuming only that certain conditional indep…
Data Recombination for Neural Semantic Parsing
Robin Jia, Percy Liang
Modeling crisp logical regularities is crucial in semantic parsing, making it difficult for neural models with no task-specific prior knowledge to achieve good results. In this pap…
Learning Language Games through Interaction
Sida I. Wang, Percy Liang, Christopher D. Manning
We introduce a new language learning setting relevant to building adaptive natural language interfaces. It is inspired by Wittgenstein's language games: a human wishes to accomplis…
Estimating Mixture Models via Mixtures of Polynomials
Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang
Mixture modeling is a general technique for making any simple model more expressive through weighted combination. This generality and simplicity in part explains the success of the…