In the last 16 years, more than 200 research articles were published about research-paper
recommender systems. We reviewed these articles and present some descriptive statistics in …

In this paper we summarize the results obtained so far in the communities interested in the
development of automated processing techniques as applied to business documents, and …

While user-modeling and recommender systems successfully utilize items like emails, news,
and movies, they widely neglect mind-maps as a source for user modeling. We consider this …

Text mining and information retrieval in large collections of scientific literature require
automated processing systems that analyse the documents' content. However, the layout of …

Statistical machine learning is widely used in image classification. However, most
techniques (1) require many images to achieve high accuracy and (2) do not provide …

We present a comprehensive system for extracting metadata from scholarly articles. In our
approach the entire document is inspected, including headers and footers of all the pages …

Graph Convolutional Networks (GCN) have been recognized as successful for processing
pseudo-spatial graph representations of the underlying structure of documents. We present …

The authors propose to use formatting templates and implicit formatting semantics
information for automatic metadata identification and segmentation. The pure texts and their …

Purpose. This work addresses an escalating problem within the realm of scientific
publishing, that stems from accelerated publication rates of article formats difficult to process …

Automatic interpretation of web tables can enable database-like semantic search over the
plethora of information stored in tables on the web. Our table interpretation method …