Deep learning methods have achieved great success in analyzing traditional data such as
texts, sounds, images and videos. More and more research works are carrying out to extend …

Neural networks (NNs) have become one of the most important tools for artificial
intelligence. Well-designed and trained NNs can perform inference (eg, make decisions or …

Abstract Information on the size of academic search engines and bibliographic databases
(ASEBDs) is often outdated or entirely unavailable. Hence, it is difficult to assess the scope …

The large and growing amounts of online scholarly data present both challenges and
opportunities to enhance knowledge discovery. One such challenge is to automatically …

Citation recommendation describes the task of recommending citations for a given text. Due
to the overload of published scientific works in recent years on the one hand, and the need …

Recently, there has been a shifting focus of organizations and governments towards
digitization of academic and technical documents, adding a new facet to the concept of …

CiteSeerX is a digital library search engine providing access to more than five million
scholarly documents with nearly a million users and millions of hits per day. We present key …

Many users implicitly assume that software can only be exploited after it is installed.
However, recent supply-chain attacks demonstrate that application integrity must be ensured …

Extracting the body text from a PDF document is an important but surprisingly difficult task.
The reason is that PDF is a layout-based format which specifies the fonts and positions of …

In recent years, scholarly data sets have been used for various purposes, such as paper
recommendation, citation recommendation, citation context analysis, and citation context …