Document structure extraction has been a widely researched area for decades with recent
works performing it as a semantic segmentation task over document images using fully …

Recognizing mathematical expressions in PDF documents is a new and important field in
document analysis. It is quite different from extracting mathematical expressions in image …

An important initial step of mathematical formula recognition is to correctly identify the
location of formulae within documents. Previous work in this area has traditionally focused …

Abstract Structure extraction from document images has been a long-standing research
topic due to its high impact on a wide range of practical applications. In this paper, we share …

Document structure extraction has been a widely researched area for decades. Recent work
in this direction has been deep learning-based, mostly focusing on extracting structure using …

As the popularity of the portable document format (PDF) file format increases, research that
facilitates PDF text analysis or extraction is necessary. Heading detection is a crucial …

This paper proposes a multi-stage architecture to extract math expressions (ME) from PDF
documents based on font analysis. The unsupervised algorithm starts from symbol level …

Accessing the structured content of PDF document is a difficult task, requiring pre-
processing and reverse engineering techniques. In this paper, we first present different …

The paper presents Intextbooks-the system for automated conversion of PDF-based
textbooks into intelligent educational Web resources. The papers focuses on the new …

Inline Mathematical Expression refers to Math Expression (ME) that is blended into plaintext
sentences in scientific papers. Detecting inline MEs is a non-trivial problem due to the …