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Attribute Based Encryption for Secure Access to Cloud Based EHR Systems
(IEEE, 2018-09-10)
Medical organizations find it challenging to adopt cloud-based electronic medical records services, due to the risk of data breaches and the resulting compromise of patient data. Existing authorization models follow a ...
CADET: Computer Assisted Discovery Extraction and Translation
(2017-11-27)
Computer Assisted Discovery Extraction and Translation (CADET) is a workbench for helping knowledge workers find, label, and translate documents of interest. It combines a multitude of analytics together with a flexible ...
Advanced Large Scale Cross Domain Temporal Topic Modeling Algorithms to Infer the Influence of Recent Research on IPCC Assessment Reports
(American Geophysical Union, 2016-12-12)
One way of understanding the evolution of science within a particular scientific discipline is by studying the temporal influences that research publications had on that discipline. We provide a methodology for conducting ...
Event Nugget Detection using Thresholding and Classification Techniques
(National Institute of Standards and Technology, 2016-11-14)
This paper describes the Event Nugget Detection system that we submitted to the TAC KBP 2016 Event Track. We sent out two runs; UMBC1 and UMBC2. UMBC1 is a sentence-level classification system based on Convolution Neural ...
Participation in TAC KBP 2017: Cold Start TEDL and Low-resource EDL
The JHU HLTCOE participated in the Cold Start and the edl tasks of the 2017 Text Analysis Conference Knowledge Base Population evaluation. For our sixth year of participation in Cold Start we continued our research with ...
Deep Understanding of a Document's Structure
(ACM, 2017-12-05)
Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews and discussion forum discussions. Understanding and extracting information from large documents ...
Discovering Scientific Influence using Cross-Domain Dynamic Topic Modeling
(IEEE, 2017-01-15)
We describe an approach using dynamic topic modeling to model influence and predict future trends in a scientific discipline. Our study focuses on climate change and uses assessment reports of the Intergovernmental Panel ...
HLTCOE Participation in TAC KBP 2016: Cold Start and EDL
(National Institute of Standards and Technology, 2016-11-14)
The JHU HLTCOE participated in the Cold Start and the Entity Discovery and Linking tasks of the 2016 Text Analysis Conference Knowledge Base Population evaluation. For our fifth year of participation in Cold Start we ...
Modeling the Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps
(Association for the Advancement of Artificial Intelligence, 2017)
Climate change is an important social issue and the subject of much research, both to understand the history of the Earth’s changing climate and to foresee what changes to expect in the future. Approximately every five ...
Inferring Relations in Knowledge Graphs with Tensor Decompositions
(IEEE, 2017-02-06)
Multi-relational data, like knowledge graphs, are generated from multiple data sources by extracting entities and their relationships. We often want to include inferred, implicit or likely relationships that are not ...