This tutorial is targeted at academics and practitioners, both within and outside of the Document Engineering community, who are confronted with table processing tasks such as information extraction and conversion, or have an interest in the topic, and ...

The DChanges series of workshops focuses on changes in all their aspects and applications: algorithms to detect changes, models to describe them and techniques to present them to the final users are only some of the topics we investigate. The workshop ...

Madoko [6-8] is a novel authoring system for writing complex documents. It is especially well suited for complex academic or industrial documents, like scientific articles, reference manuals, or math-heavy presentations. One particular important aspect ...

Most of multimedia documents available today are agnostic to data semantics and their specification language offer little to ease authoring and mechanisms to their players so they can retrieve and present meaningful content to improve user experience. ...

Analytics obtained during the creation of a database of mass serialized codes can also be used to help enforcement of encryption policy on documents. In this paper, we introduce a set of metrics which complement traditional NIST cryptography methods -- ...

In this paper we propose a new method for automated segmentation of scanned newspaper pages into articles. Article regions are produced as a result of merging sub-article level content and title regions. We use a Bayesian Gaussian mixture model to model ...

We propose a PDF document wrapper system that is specifically targeted at table processing applications. We (i) review the PDF specifications and identify particular challenges from the table processing point of view, (ii) specify a table-oriented ...

Frequent string mining is widely used in text processing to extract text features. Most researchers have focused on text using single-byte characters. Consequently, their applications have problems when applied to text represented with multibyte ...

Some of the recent state-of-the-art systems for Automatic Text Summarization rely on the concept-based approach using Integer Linear Programming (ILP), mainly for multi-document summarization. A study on the suitability of such an approach to single-...

This paper presents a new method for improving the cohesiveness of summaries generated by extractive summarization systems. The solution presented attempts to improve the legibility and cohesion of the generated summaries through coreference resolution. ...

Mobile devices such as smart phones and tablets are omnipresent in modern societies. Such devices allow browsing the Internet. This paper briefly describes two tools for news article summarization in mobile devices that attempts to automatically collect ...

Today, students are offered a wide variety of alternatives to printed material for the consumption of educational content. Previous research suggests that, while digital content has its advantages, printed content still offers benefits that cannot be ...

Classification models are used in component content management to identify content components for retrieval, reuse and distribution. Intrinsic metadata, such as the assigned information class, play an important role in these tasks. With the increasing ...

Taxonomies have gained a broad usage in a variety of fields due to their extensibility, as well as their use for classification and knowledge organization. Of particular interest is the digital document management domain in which their hierarchical ...

Algorithms to topically cluster and classify texts rely on information about their semantic distances and similarities. Standard methods based on the bag-of-words model to determine this information return only rough estimations regarding the ...

A large number of documents are usually produced in the software industry. In this work, we conduct a qualitative study to explore the main practices and challenges related to managing these documents. The results of this study are based on interviews ...

The research data landscape of the arts and humanities is characterized by a high degree of heterogeneity. To improve interoperability, recent initiatives and research infrastructures are encouraging the use of standards and best practices. However, ...

In this talk, Peter Bil'ak will examine the ways that current publishing practices are rooted in the 19th century, and how in order to move forward, we may have to go back to the roots and reconnect with readers. He will also talk about his recent ...

The Entity Linking task consists in automatically identifying and linking the entities mentioned in a text to their URIs in a given Knowledge Base, e.g., Wikipedia. Entity Linking has a large im- pact in several text analysis and information retrieval ...

Most of existing efforts in digital preservation have focused on extending the life of documents beyond their period of creation, without taking into account intentions and assumptions made. However, in a continuously evolving setting, knowledge about ...