We focus on electronic theses and dissertations (ETDs), aiming to improve access and
expand their utility, since more than 6 million are publicly available, and they constitute an …

The ability to extract figures and tables from scientific documents can solve key use-cases
such as their semantic parsing, summarization, or indexing. Although a few methods have …

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 …

Scholarly papers (journal and conference papers, technical reports, etc.) usually contain
multiple``figures''such as plots, flow charts and other images which are generated manually …

The current digital environment is characterized by the widespread presence of data,
particularly unstructured data, which poses many issues in sectors including finance …

Electronic theses and dissertations (ETDs) contain valuable knowledge that can be useful
for a wide range of purposes. To effectively utilize the knowledge contained in ETDs for …

The search for stamps on images is necessary to verify the authenticity of a document and
extract valuable textual information contained in them. Despite the vast number of methods …

Extracting metadata from scholarly papers is an important text mining problem. Widely used
open-source tools such as GROBID are designed for born-digital scholarly papers but often …

We present a method of extracting figures and images from the pages of scanned
documents, especially from technical research articles. Our approach is novel in two key …

Abstract Information extraction from documents is a ubiquitous first step in many business
applications. During this step, the entries of various fields must first be read from the images …