Evaluation of text-mining systems for biology: overview of the Second BioCreative community challenge

  title={Evaluation of text-mining systems for biology: overview of the Second BioCreative community challenge},
  author={Martin Krallinger and Alexander A. Morgan and Larry Smith and Florian Leitner and Lorraine K. Tanabe and John Wilbur and Lynette Hirschman and Alfonso Valencia},
  journal={Genome Biology},
  pages={S1 - S1}
Genome sciences have experienced an increasing demand for efficient text-processing tools that can extract biologically relevant information from the growing amount of published literature. In response, a range of text-mining and information-extraction tools have recently been developed specifically for the biological domain. Such tools are only useful if they are designed to meet real-life tasks and if their performance can be estimated and compared. The BioCreative challenge (Critical… CONTINUE READING
Highly Cited
This paper has 286 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.
131 Citations
26 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 131 extracted citations

286 Citations

Citations per Year
Semantic Scholar estimates that this publication has 286 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 26 references

Current use of text mining and literature search systems for genome sciences

  • M Krallinger, L Hirschman, A Valencia
  • Genome Biol 2008,
  • 2008
Highly Influential
12 Excerpts

MALLET: A Machine Learning for Language Toolkit. [http://mallet.cs.umass.edu

  • AK McCallum
  • Genome Biology 2008,
  • 2008
1 Excerpt

What is a support vector machine

  • W Noble
  • Nat Biotechnol
  • 2006
1 Excerpt

Similar Papers

Loading similar papers…