1 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Effective Sequence-to-Sequence Dialogue State Tracking
Jeffrey Zhao, Mahdis Mahdieh, Ye Zhang +2
Sequence-to-sequence models have been applied to a wide variety of NLP tasks, but how to properly use them for dialogue state tracking has not been systematically investigated. In…
Do Human Rationales Improve Machine Explanations?
Julia Strout, Ye Zhang, Raymond J. Mooney
Work on "learning with rationales" shows that humans providing explanations to a machine learning system can improve the system's predictive accuracy. However, this work has not be…
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Ye Zhang, Nan Ding, Radu Soricut
Supervised training of abstractive language generation models results in learning conditional probabilities over language sequences based on the supervised training signal. When th…
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification
Ye Zhang, Stephen Roller, Byron Wallace
We introduce a novel, simple convolution neural network (CNN) architecture - multi-group norm constraint CNN (MGNC-CNN) that capitalizes on multiple sets of word embeddings for sen…