After decades of massive digitisation, an unprecedented number of historical documents are
available in digital format, along with their machine-readable texts. While this represents a …

This paper presents an extended overview of the first edition of HIPE (Identifying Historical
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …

After decades of massive digitisation, an unprecedented amount of historical documents is
available in digital format, along with their machine-readable texts. While this represents a …

This paper tackles the task of named entity recognition (NER) applied to digitized historical
texts obtained from processing digital images of newspapers using optical character …

Named entity processing over historical texts is more and more being used due to the
massive documents and archives being stored in digital libraries. However, due to the poor …

Biodiversity information is contained in countless digitized and unprocessed scholarly texts.
Although automated extraction of these data has been gaining momentum for years, there …

Background Biodiversity is the assortment of life on earth covering evolutionary, ecological,
biological, and social forms. To preserve life in all its variety and richness, it is imperative to …

In this paper, we present three generalpurpose neural network models for sentence
boundary detection. We report on a series of experiments with long shortterm memory …

Introduction Fine-grained, descriptive information on habitats and reproductive conditions of
plant species are crucial in forest restoration and rehabilitation efforts. Precise timing of fruit …

Nur wenigen Menschen ist vermutlich auf Anhieb bewusst, was Digitalisierung mit
Naturschutz zu tun hat. Von Einigen werden beide Begriffe sogar als Gegensätze …