Recent years have seen important advances in the quality of state-of-the-art models, but this
has come at the expense of models becoming less interpretable. This survey presents an …

Abstract Machine learning (ML) techniques are increasingly important in cybersecurity, as
they can quickly analyse and identify different types of threats from millions of events. In spite …

Pointer Generators have been the de facto standard for modern summarization systems.
However, this architecture faces two major drawbacks: Firstly, the pointer is limited to …

Text generation aims to produce human-like natural language output for down-stream tasks.
It covers a wide range of applications like machine translation, document summarization …

Browsing news articles on multiple devices is now possible. The lengths of news article
headlines have precise upper bounds, dictated by the size of the display of the relevant …

This study addresses the need for transparency in machine learning models within
cybersecurity, emphasizing the importance of comprehensible explanations to support trust …

Fund correlation analysis can guide investors' investment and wealth management,
avoiding the selection of highly relevant funds in the investment process, which can make …

Text generation aims to produce human-like natural language output for down-stream tasks.
It covers a wide range of applications like machine translation, document summarization …