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 …

Data mining of available biomedical data and information has greatly boosted target
discovery in the 'omics' era. Target discovery is the key step in the biomarker and drug …

Systems biology recognizes in particular the importance of interactions between biological
components and the consequences of these interactions. Such interactions and their …

Abstract The Genia Event Extraction task is organized for the third time, in BioNLP Shared
Task 2013. Toward knowledge based construction, the task is modified in a number of …

Background Since their introduction in 2009, the BioNLP Shared Task events have been
instrumental in advancing the development of methods and resources for the automatic …

Elucidating the complexities of cell signaling pathways is of immense importance to gain
understanding about various biological phenomenon, such as dynamics of gene/protein …

Increase in global population and growing disease burden due to the emergence of
infectious diseases (Zika virus), multidrug-resistant pathogens, drug-resistant cancers …

New approaches to biomedical text mining crucially depend on the existence of
comprehensive annotated corpora. Such corpora, commonly called gold standards, are …

Background Biomedical papers contain rich information about entities, facts and events of
biological relevance. To discover these automatically, we use text mining techniques, which …

The assessment of genome function requires a mapping between genome-derived entities
and biochemical reactions, and the biomedical literature represents a rich source of …