BioCreative: Critical Assessment of Information Extraction in Biology is a community-wide effort to promote creation and improvement of text-mining tools and solutions for biocuration by organizing common evaluation tasks.
The reviewers made insightful suggestions regarding improvement of the text and further analysis of existing data.
I am most grateful to Martin Exel, Austral Fisheries, Pty., Fremantle, Geoff Rowan, AFMA, Canberra, Richard Tilzey, Bureau of Rural Sciences, Canberra, and Anna Willock, Traffic Oceania, Sydney for their insights and invaluable suggestions for the improvement of this text.
Obtained results show a significant improvement of the text-independent speaker verification in high noise environment and opportunity for further improvements in this area.
The improvement of these text-based STD systems over those systems is statistically significant for train/dev data (p<10−4) and for test data (p<10−6).
Contact: [email protected] The extremely rapid growth of published literature in the biological sciences necessitates the constant improvement of automated text-mining tools to extract relevant information and convert it into structured formats.
Shortly after the publication of his third edition, Erasmus had seen the Complutensian Polyglot, and used its text for improvement of his own text.
There's also a new screenshot editor, lots of improvements for text selection, and changes to the way rotation works.
But it's easy to see, and appreciate, the improvement in clarity of text, pictures and videos.
