19 citations · 19 across the 1 of their papers we have counts for
3 papers · 1 filter
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazaré +1
The majority of conversations a dialogue agent sees over its lifetime occur after it has already been trained and deployed, leaving a vast store of potential training signal untapp…
Generating Titles for Web Tables
Braden Hancock, Hongrae Lee, Cong Yu
Descriptive titles provide crucial context for interpreting tables that are extracted from web pages and are a key component of table-based web applications. Prior approaches have…
Training Classifiers with Natural Language Explanations
Braden Hancock, Paroma Varma, Stephanie Wang +3
Training accurate classifiers requires many labels, but each label provides only limited information (one bit for binary classification). In this work, we propose BabbleLabble, a f…