207 citations · 448 across the 4 of their papers we have counts for
4 papers
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie, Sida I. Wang, Jiwei Li +4
Data noising is an effective technique for regularizing neural network models. While noising is widely adopted in application domains such as vision and speech, commonly used noisi…
Data Distillation for Controlling Specificity in Dialogue Generation
Jiwei Li, Will Monroe, Dan Jurafsky
People speak at different levels of specificity in different situations. Depending on their knowledge, interlocutors, mood, etc.} A conversational agent should have this ability an…
Learning to Decode for Future Success
Jiwei Li, Will Monroe, Dan Jurafsky
We introduce a simple, general strategy to manipulate the behavior of a neural decoder that enables it to generate outputs that have specific properties of interest (e.g., sequence…
A Hierarchical Neural Autoencoder for Paragraphs and Documents
Jiwei Li, Minh-Thang Luong, Dan Jurafsky
Natural language generation of coherent long texts like paragraphs or longer documents is a challenging problem for recurrent networks models. In this paper, we explore an importan…