147 citations · 366 across the 10 of their papers we have counts for
5 papers · 1 filter
Self-Explaining Structures Improve NLP Models
Zijun Sun, Chun Fan, Qinghong Han +4
Existing approaches to explaining deep learning models in NLP usually suffer from two major drawbacks: (1) the main model and the explaining model are decoupled: an additional prob…
OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts
Yuxian Meng, Shuhe Wang, Qinghong Han +4
When humans converse, what a speaker will say next significantly depends on what he sees. Unfortunately, existing dialogue models generate dialogue utterances only based on precedi…
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
Xiaoya Li, Yuxian Meng, Mingxin Zhou +3
While the self-attention mechanism has been widely used in a wide variety of tasks, it has the unfortunate property of a quadratic cost with respect to the input length, which make…
Non-Autoregressive Neural Dialogue Generation
Qinghong Han, Yuxian Meng, Fei Wu +1
Maximum Mutual information (MMI), which models the bidirectional dependency between responses () and contexts (), i.e., the forward probability and the backward…
Description Based Text Classification with Reinforcement Learning
Duo Chai, Wei Wu, Qinghong Han +2
The task of text classification is usually divided into two stages: {\it text feature extraction} and {\it classification}. In this standard formalization categories are merely rep…