3,913 research outputs found
Sequence to Sequence Learning for Query Expansion
Using sequence to sequence algorithms for query expansion has not been
explored yet in Information Retrieval literature nor in Question-Answering's.
We tried to fill this gap in the literature with a custom Query Expansion
engine trained and tested on open datasets. Starting from open datasets, we
built a Query Expansion training set using sentence-embeddings-based Keyword
Extraction. We therefore assessed the ability of the Sequence to Sequence
neural networks to capture expanding relations in the words embeddings' space.Comment: 8 pages, 2 figures, AAAI-19 Student Abstract and Poster Progra
Comprehensive Security Framework for Global Threats Analysis
Cyber criminality activities are changing and becoming more and more professional. With the growth of financial flows through the Internet and the Information System (IS), new kinds of thread arise involving complex scenarios spread within multiple IS components. The IS information modeling and Behavioral Analysis are becoming new solutions to normalize the IS information and counter these new threads. This paper presents a framework which details the principal and necessary steps for monitoring an IS. We present the architecture of the framework, i.e. an ontology of activities carried out within an IS to model security information and User Behavioral analysis. The results of the performed experiments on real data show that the modeling is effective to reduce the amount of events by 91%. The User Behavioral Analysis on uniform modeled data is also effective, detecting more than 80% of legitimate actions of attack scenarios
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