We describe techniques for the automatic detection of relationships among domain entities (e.g. genes, proteins, diseases) mentioned in the biomedical literature. Our approach is ...
Fabio Rinaldi, Gerold Schneider, Kaarel Kaljurand,...
According to statistics, the rate of having cancer is relatively high for people in developing and developed countries. So cancer can be called as the enemy of human health. With ...
The discovery of new and potentially meaningful relationships between concepts in the biomedical literature has attracted the attention of a lot of researchers in text mining. The ...
Margherita Berardi, Michele Lapi, Pietro Leo, Corr...
Background: Advanced Text Mining (TM) such as semantic enrichment of papers, event or relation extraction, and intelligent Question Answering have increasingly attracted attention...
Background: The task of recognizing and identifying species names in biomedical literature has recently been regarded as critical for a number of applications in text and data min...