Non-textual components such as charts, diagrams and tables provide key information in
many scientific documents, but the lack of large labeled datasets has impeded the …

Figures and tables are key sources of information in many scholarly documents. However,
current academic search engines do not make use of figures and tables when semantically …

Textbooks are rich sources of information. Harvesting structured knowledge from textbooks
is a key challenge in many educational applications. As a case study, we present an …

To ensure readability, text is often written and presented with due formatting. These text
formatting devices help the writer to effectively convey the narrative. At the same time, these …

In recent years, significant effort has been invested verifying the reproducibility and
robustness of research claims in social and behavioral sciences (SBS), much of which has …

Most existing large-scale academic search engines are built to retrieve text-based
information. However, there are no large-scale retrieval services for scientific figures and …

The enormous growth in the size of scholarly literature makes its retrieval challenging. To
address this challenge, researchers and practitioners developed several solutions. These …

Since the emergence of scholarly big data, there have been several efforts for web-based
services such as digital library search engines (DLSEs). However, much of the design and …

The rapid growth in the number of scholarly documents on the Web and in other digital
platforms makes it challenging for researchers to find research publications most relevant to …

In this paper, we discuss our ongoing efforts to construct a scientific paper browsing system
that helps users to read and understand advanced technical content distributed in PDF …