6 citations · 8 across the 3 of their papers we have counts for
4 papers · 1 filter
Can Rationalization Improve Robustness?
Howard Chen, Jacqueline He, Karthik Narasimhan +1
A growing line of work has investigated the development of neural NLP models that can produce rationales--subsets of input that can explain their model predictions. In this paper,…
Non-Parametric Few-Shot Learning for Word Sense Disambiguation
Howard Chen, Mengzhou Xia, Danqi Chen
Word sense disambiguation (WSD) is a long-standing problem in natural language processing. One significant challenge in supervised all-words WSD is to classify among senses for a m…
Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems
Derek Chen, Howard Chen, Yi Yang +2
Existing goal-oriented dialogue datasets focus mainly on identifying slots and values. However, customer support interactions in reality often involve agents following multi-step p…
Autoregressive Knowledge Distillation through Imitation Learning
Alexander Lin, Jeremy Wohlwend, Howard Chen +1
The performance of autoregressive models on natural language generation tasks has dramatically improved due to the adoption of deep, self-attentive architectures. However, these ga…