38 citations · 134 across the 12 of their papers we have counts for
8 papers · 1 filter
Dual-FOFE-net Neural Models for Entity Linking with PageRank
Feng Wei, Uyen Trang Nguyen, Hui Jiang
This paper presents a simple and computationally efficient approach for entity linking (EL), compared with recurrent neural networks (RNNs) or convolutional neural networks (CNNs),…
Bandlimiting Neural Networks Against Adversarial Attacks
Yuping Lin, Kasra Ahmadi K. A., Hui Jiang
In this paper, we study the adversarial attack and defence problem in deep learning from the perspective of Fourier analysis. We first explicitly compute the Fourier transform of d…
Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs
Kevin Joseph, Hui Jiang
Content-based news recommendation systems need to recommend news articles based on the topics and content of articles without using user specific information. Many news articles de…
Effective Context and Fragment Feature Usage for Named Entity Recognition
Nargiza Nosirova, Mingbin Xu, Hui Jiang
In this paper, we explore a new approach to named entity recognition (NER) with the goal of learning from context and fragment features more effectively, contributing to the improv…
A Multi-task Learning Approach for Named Entity Recognition using Local Detection
Nargiza Nosirova, Mingbin Xu, Hui Jiang
Named entity recognition (NER) systems that perform well require task-related and manually annotated datasets. However, they are expensive to develop, and are thus limited in size.…
A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases
Dekun Wu, Nana Nosirova, Hui Jiang +1
Question answering over knowledge base (KB-QA) has recently become a popular research topic in NLP. One popular way to solve the KB-QA problem is to make use of a pipeline of sever…