27 citations · 60 across the 5 of their papers we have counts for
6 papers
Exploiting Expert Knowledge for Assigning Firms to Industries: A Novel Deep Learning Method
Xiaohang Zhao, Xiao Fang, Jing He +1
Industry assignment, which assigns firms to industries according to a predefined Industry Classification System (ICS), is fundamental to a large number of critical business practic…
Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach
Linh Le, Tu N. Nguyen, Kun Suo +1
5G radio access network (RAN) slicing aims to logically split an infrastructure into a set of self-contained programmable RAN slices, with each slice built on top of the underlying…
A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems
Layla El Asri, Jing He, Kaheer Suleman
User simulation is essential for generating enough data to train a statistical spoken dialogue system. Previous models for user simulation suffer from several drawbacks, such as th…
Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data
Shikhar Sharma, Jing He, Kaheer Suleman +2
Natural language generation plays a critical role in spoken dialogue systems. We present a new approach to natural language generation for task-oriented dialogue using recurrent ne…
Policy Networks with Two-Stage Training for Dialogue Systems
Mehdi Fatemi, Layla El Asri, Hannes Schulz +2
In this paper, we propose to use deep policy networks which are trained with an advantage actor-critic method for statistically optimised dialogue systems. First, we show that, on…
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
Adam Trischler, Zheng Ye, Xingdi Yuan +3
Understanding unstructured text is a major goal within natural language processing. Comprehension tests pose questions based on short text passages to evaluate such understanding.…