2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2021
Open-domain clarification question generation without question examples
Julia White, Gabriel Poesia, Robert Hawkins +2
An overarching goal of natural language processing is to enable machines to communicate seamlessly with humans. However, natural language can be ambiguous or unclear. In cases of u…
cs.CL2021
Calibrate your listeners! Robust communication-based training for pragmatic speakers
Rose E. Wang, Julia White, Jesse Mu +1
To be good conversational partners, natural language processing (NLP) systems should be trained to produce contextually useful utterances. Prior work has investigated training NLP…
cs.CL2020★ 2 cited
Learning to refer informatively by amortizing pragmatic reasoning
Julia White, Jesse Mu, Noah D. Goodman
A hallmark of human language is the ability to effectively and efficiently convey contextually relevant information. One theory for how humans reason about language is presented in…