38 citations · 70 across the 3 of their papers we have counts for
5 papers
Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering
Junbei Zhang, Xiaodan Zhu, Qian Chen +3
The last several years have seen intensive interest in exploring neural-network-based models for machine comprehension (MC) and question answering (QA). In this paper, we approach…
Higher Order Recurrent Neural Networks
Rohollah Soltani, Hui Jiang
In this paper, we study novel neural network structures to better model long term dependency in sequential data. We propose to use more memory units to keep track of more preceding…
Part-of-Speech Relevance Weights for Learning Word Embeddings
Quan Liu, Zhen-Hua Ling, Hui Jiang +1
This paper proposes a model to learn word embeddings with weighted contexts based on part-of-speech (POS) relevance weights. POS is a fundamental element in natural language. Howev…
A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models
Shiliang Zhang, Hui Jiang, Mingbin Xu +2
In this paper, we propose the new fixed-size ordinally-forgetting encoding (FOFE) method, which can almost uniquely encode any variable-length sequence of words into a fixed-size r…
Deep Learning for Object Saliency Detection and Image Segmentation
Hengyue Pan, Bo Wang, Hui Jiang
In this paper, we propose several novel deep learning methods for object saliency detection based on the powerful convolutional neural networks. In our approach, we use a gradient…