The past decade has witnessed the modern advances of high-throughput technology and
rapid growth of research capacity in producing large-scale biological data, both of which …

The scientific research process generally starts with the examination of the state of the art,
which may involve a vast number of publications. Automatically summarizing scientific …

The truly world-wide reach of the Web has brought with it a new realisation of the enormous
importance of usability and user interface design. In the last ten years, much has become …

The appropriate collection and consumption of electronic health information about an
individual patient or population is the bedrock of modern healthcare, where electronic …

The search for relevant and actionable information is a key to achieving clinical and
research goals in biomedicine. Biomedical information exists in different forms: as text and …

Biomedical Natural Language Processing is a comprehensive tour through the classic and
current work in the field. It discusses all subjects from both a rule-based and a machine …

This tutorial is intended for biologists and computational biologists interested in adding text
mining tools to their bioinformatics toolbox. As an illustrative example, the tutorial examines …

Text mining for the life sciences aims to aid database curation, knowledge summarization
and information retrieval through the automated processing of biomedical texts. To provide …

Algorithms are usually published in scholarly articles, especially in the computational
sciences and related disciplines. The ability to automatically find and extract these …

The scientific literature is growing exponentially, and professionals are no more able to cope
with the current amount of publications. Text mining provided in the past methods to retrieve …