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 …

In response to the unbridled growth of information in literature and biomedical databases,
researchers require efficient means of handling and extracting information. As well as …

Background Concept recognition is an essential task in biomedical information extraction,
presenting several complex and unsolved challenges. The development of such solutions is …

A number of biomedical text mining systems have been developed to extract biologically
relevant information directly from the literature, complementing bioinformatics methods in the …

Biomedical and life sciences literature is unique because of its exponentially increasing
volume and interdisciplinary nature. Biomedical literature access is essential for several …

Search engines running on scientific literature have been widely used by life scientists to
find publications related to their research. However, existing search engines in the life …

Despite the abundance of biomedical literature and health discussions in online
communities, it is often tedious to retrieve informative contents for health-centric information …

Nowadays, it is possible to identify terms corresponding to biological entities within
passages in biomedical text corpora: critically, their potential relationships then need to be …

Biomedical images are helpful sources for the scientists and practitioners in drawing
significant hypotheses, exemplifying approaches and describing experimental results in …

We propose to combine parse forest and discourse structures to form a unified
representation for a paragraph of text. The purpose of this representation is to tackle …